Dataset Viewer
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synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
synthetic_data | False | You are an expert researcher. Now I want you to help me brainstorm some new research project proposals on the topic of: synthetic data for training large language models.
You should generate 1 project proposal(s) on this topic. Be creative and diverse in the idea generation. Each project proposal should be described as: (1) Problem Statement: State the problem statement, which should be closely related to the topic description and something that is not well solved yet. (2) Motivation: Explain the inspiration of the proposed method and why it would work well. (3) Proposed Method: Propose your new method and describe it in detail. The proposed method should be maximally different from all existing work and baselines, and be more advanced and effective than the baselines. You should be as creative as possible in proposing new methods. Make sure to write down the idea as a list of atomic steps where each step is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it. (4) Experiment Plan: Specify all the experiment steps, baselines, and evaluation metrics. If using existing datasets, mention the names of the datasets; or alternatively, explain how to construct the datasets. Make sure to write this section as list of different experiments to do where each one is described in detail with concrete action items and is at least 2 sentences long. Avoid vague steps and use very specific terms to tell the student what to implement and how to do it.
Focus on proposing novel empirical methods. You are encouraged to use a diverse set of techniques or their combinations. The proposed method section should specify all the details involved, such as how to get the data, what's the training objective, how to construct the prompts, all the datasets and metrics, etc. You should aim for projects that can potentially win best paper awards at top AI and LLM conferences like NeurIPS and ICLR.
Output the proposals in json format as a dictionary, where you should generate a short idea name as the key and the actual idea description as the value. |
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