allenai/openscilm_queries · Datasets at Hugging Face

query stringlengths 10 9.4k	Query Intents stringclasses 8 values	Subject stringclasses 182 values
find a case study on the top-retrieved context and predictions on NQ dataset at RankRAG paper	Paper Understanding	computer science
mouse aging muscle exersice	Paper Finding	biology
the function of fv-4 gene in mouse genome	Literature Understanding	biology
Seaweed influences the body clock Can you find a paper that shows that it affects the	Paper Finding	biology
Veterinary importance of the ticks ixodes ricinus	Literature Understanding	medicine
Links between psychological traits and persuasion	Literature Understanding	psychology
Importance of Divine Planning in the Quran as a Key Factor in the Rise of Islam • Research Problem and Objectives • The Role of Quranic Verses in Highlighting Divine Support	Ideation	social sciences
The integration of qualitative data into Geographic Information Systems (GIS) has emerged as a significant area of research, reflecting a paradigm shift in how geographic data is conceptualized and utilized. Traditionally, GIS has been associated predominantly with quantitative data, but recent developments have highlighted the potential of qualitative GIS (QGIS) to enrich spatial analysis by incorporating narratives, perceptions, and contextual information.	Other	environmental science
Are there any llm approaches that achieve state of the art on regressions tasks, or are boosting approaches still the best?	Literature Understanding	computer science
What are the potential impact of these ransomware attacks on health Internet of Things (HIoT) devices and systems?	Literature Understanding	computer science
what's the recent research direction of taxonomy completion	Literature Understanding	computer science
Show a good way to learn ECGs for a Paramedic	Literature Understanding	medicine
find papers on APT detection and monitoring in real time and reconstruct attack scenarios	Paper Finding	computer science
A research about optimization of read latency, capacity, power consumption, etc.. of flash-based PIM	Literature Understanding	computer science
Find papers on the topic of sociodemographic differences in assessment achievement	Paper Finding	education
Is it true the every continuous infinite powerset contains all other continous infinite sets of a lower order?	Literature Understanding	math
Articles about Copernicus Land Monitoring Service Soil Water Index	Paper Finding	earth sciences
Find me references about sample efficient ways to compute the Q values of a given policy offline	Paper Finding	computer science
diverting cognitive resources from higher-level design thinking	Literature Understanding	psychology
I want know mathematical model for slug formation of Dictyostelium	Literature Understanding	biology
Summarise the following paper: Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers.	Paper Understanding	computer science
Unintentional global HCBD emissions	Literature Understanding	environmental science
what are leading techniques for safe navigation in partially observable environments with moving obstacles?	Literature Understanding	computer science
give me some articles combining mediapipe and motion capture	Paper Finding	computer science
Find papers on prompt engineering	Paper Finding	computer science
what are the public databases available for CO2 emissions calculation	Literature Understanding	environmental science
Outline the main ideas of nativisation in the USSR	Literature Understanding	social sciences
what does science say about genetics and people's career choice decisions?	Literature Understanding	psychology
Do investment fund change their investment behavior based on companies ESG rating?	Literature Understanding	finance
Projected changes in peatland water table with climate change	Literature Understanding	environmental science
any recent open-sourced paper on converting pointcloud to mesh	Paper Finding	computer science
The advantages and application value of natural gas hydrates.	Literature Understanding	environmental science
I write a paper titled DefectDiffusion: Two stages for Defect Image generation with Diffusion Model. Please help me revise the following abstract. Abstract: Anomaly detection is essential in industrial production; however, the performance of current methods is limited by the scarcity of anomaly data. Existing defect generation models predominantly depend on defect images and their associated labels, thereby relying on a single data modality. This constraint results in models that lack the requisite external knowledge to guide the generation of anomaly samples, which in turn compromises the authenticity of the synthesized samples and impedes the accurate replication of complex defect characteristics found in real-world settings. Furthermore, diffusion models that utilize fine-tuning techniques often generate images with coarse granularity, exacerbating the discrepancy between synthetic and real defect images. To address these issues, we propose DefectDiffusion, an advanced two-stage anomaly generation model based on diffusion processes, aimed at improving the quality of synthetic anomaly samples by incorporating multimodal information. In the initial stage, we exploit the multimodal capabilities of the GPT-4 model, augmented by manual design, to generate textual descriptions of defect images, thereby converting unimodal defect images into a multimodal format enriched with textual annotations. In the second stage, we enhance the generation process by fine-tuning the diffusion models using large-scale datasets to provide a more informed generation process. A fine-tuning network is then applied to refine the coarse-grained defect images produced in the first stage, facilitating the creation of fine-grained, high-quality defect images. Comprehensive experimental results show that DefectDiffusion surpasses existing approaches in terms of both the diversity and realism of the generated defect images, leading to a substantial improvement in the performance of downstream anomaly detection tasks.	Other	computer science
how transparency works from Cambridge analytics	Literature Understanding	social sciences
New directions in using diffusion for protein synthesis	Literature Understanding	biology
Use of evidence in the Algerian making policy possibilities	Literature Understanding	social sciences
Process for doing a thorough detailed internal situational analysis as part of an organisational structure review	Literature Understanding	business
I'm writing a Research Grant Application on Combining Small Language Models and Decentralized Federated Learning support for Differential Diagnosis of Vertebral Compression Fractures Caused by Primary Osteoporosis and Multiple Myeloma. This Research Grant Application aims to develop a novel approach by combining small language models and decentralized federated learning to improve the differential diagnosis of VCFs caused by PO and MM. the following are backgound. Vertebral compression fractures (VCFs) are a common complication of osteoporosis and multiple myeloma. Early diagnosis and differentiation between primary osteoporosis (PO) and multiple myeloma (MM) are crucial for appropriate treatment planning. Traditional diagnostic methods, such as radiology and clinical evaluation, may not always provide definitive answers due to overlapping symptoms and limitations in imaging techniques. The current status of ML and DL-assisted research on the diagnosis of disease is rapidly evolving.Small language models are lightweight and efficient, making them suitable for deployment on edge devices or in resource-constrained environments. These models can be fine-tuned for specific medical tasks, such as text classification or named entity recognition, using small amounts of labeled data.Decentralized federated learning is a privacy-preserving approach that allows multiple institutions to collaboratively train models while keeping their data localized. This method is particularly useful for medical applications, where sensitive data needs to be protected. Combining small language models with decentralized federated learning is a promising approach for medical applications. This approach addresses the limitations of traditional diagnostic methods and offers a more accurate, patient-centered, and cost-effective solution. By leveraging the strengths of both technologies, we aim to improve patient outcomes, reduce costs, and promote collaboration and knowledge sharing among institutions. Please rephrase it for clarity, coherence and conciseness, ensuring each paragraph flows into the next. Remove jargon. Use a professional tone.	Ideation	computer science
The immutability of blockchains conflicts with the regulation in General Data Protection Regulation currently, which requires that users can delete all personal information.	Other	computer science
These findings underscore the pivotal role of miRNAs, such as miR-146a and miR-212, in modulating immune responses and hormonal regulation during the postpartum period. They also highlight the importance of understanding miRNA-mediated mechanisms to unravel the complex interplay between immune dysfunction, hormonal changes, and mood disorders in postpartum mental health. Further research into these molecular pathways could provide valuable insights for developing targeted therapies for postpartum psychosis and bipolar disorder.	Other	medicine
are there papers that show that small model size may hinder a language model to learn complex tasks	Paper Finding	computer science
Studies suggest that confirmation bias (information consistent with beliefs) exacerbates intent to spread disinformation.	Other	psychology
Following brain ischemia, a complex immunoinflammatory cascade is activated, engaging diverse cellular mediators and triggering intricate signaling networks that modulate tissue damage and repair dynamics	Other	neuroscience
Moreover, the administration of external ds-miR-132 led to a marked enhancement in the expression levels of glutamate receptor subtypes, including NR2A, NR2B, and GluR1. This finding suggests that miR-132 plays a pivotal role in positively regulating the abundance of postsynaptic proteins. Such an increase in postsynaptic receptor expression highlights the potential of miR-132 to contribute to synaptic strengthening and plasticity, which are crucial for efficient neural communication and cognitive function.	Other	neuroscience
Which are the most powerful multimodal language models?	Literature Understanding	computer science
Learn about miqp formulation	Literature Understanding	math
Introduce The Storm and its relevance to feminist literary studies.	Literature Understanding	literature
college student and media exposure	Literature Understanding	social sciences
Design of magnetometer in marine magnetic survey	Literature Understanding	earth sciences
Find papers on Solution-Focused Coaching for Stress reduction or management. This model emphasizes building solutions rather than focusing on problems, leveraging the client’s strengths to navigate stress effectively.	Paper Finding	psychology
Ai and druge user in UAE	Literature Understanding	medicine
Data Validation, Standardization, and Enrichment	Literature Understanding	computer science
Find me prior work on mixture of expert transformer architecture design focused on individual-specific patterns	Paper Finding	computer science
give me a list of practical strategies and steps to build mental strength / thougness	Literature Understanding	psychology
categorize existing code benchmarks into functional and non-functional benchmarks	Literature Understanding	computer science
RAG synthetic data generation	Paper Finding	computer science
Is there a legal framework govering smart contracts under the syrian law	Literature Understanding	social sciences
Dynamic capabilities of human resources	Literature Understanding	business
what are the hot topic nowadays between information systems and cybersecurity encryption and AI	Literature Understanding	computer science
Provide an overview of Blockchain and NFTs, their importance, and their relevance to data security and traceability.	Literature Understanding	computer science
Adaptive User Clustering and Power Control in Grant-Free Non-Orthogonal Multiple Access (NOMA) Systems for Wireless Federated Learning	Paper Finding	engineering
Find recent papers on adversarial attacks against explanation methods	Paper Finding	computer science
limitation of benchmark of Assertion Generation task	Literature Understanding	computer science
data poisoning from compromised peers in the federation	Literature Understanding	computer science
What phenomenon is elicited by the increasing of concentration of Ca ion in satellite glial cells?	Literature Understanding	neuroscience
psychological empowerment for adolescent	Literature Understanding	psychology
The Unified Theory of Acceptance and Use of Technology (UTAUT) and VR and AR	Literature Understanding	computer science
what ois the basis of T cell specificity and sensitivity	Literature Understanding	biology
How to reverse type 2 diabetes	Literature Understanding	medicine
Method LLM Agent can Optimal Solution Selection in strategies	Literature Understanding	computer science
is aspirin affecting cardiovascular health?	Literature Understanding	medicine
Find papers on a topic of uncertainty estimation on deep learning	Paper Finding	computer science
The processing of high-resolution histopathology images presents significant computational challenges due to their large size and high resolution (Shrestha et al. 2023)(Pan et al. 2022)(DiPalma et al. 2021). The characteristics of these images, such as their gigapixel dimensions, pose a substantial load on data storage, loading, and processing.	Other	computer science
How does air temperature affect the hydroelectric systems?	Literature Understanding	engineering
Reflection Removal based diffusion model	Paper Finding	computer science
vision language model in computed tomography	Paper Finding	computer science
"Finite Element Method textbook", "Introduction to Finite Element Analysis", "Review of Finite Element Method in engineering"	Paper Finding	engineering
How can I craft the ultimate prompt for a GPT to act as a thought partner, letting me ramble freely while it organizes my ideas into actionable insights? I want to unlock the model’s full potential with advanced techniques, ensuring depth, creativity, and practical results. Please avoid mentioning previously discussed strategies (e.g., role-playing, chain-of-thought, mind mapping, summarizing, categorizing, output primers, persona modifiers, conclusions, or delimiters). Instead, focus on deeper, more advanced strategies or innovative techniques that build on these ideas. For example: • Introduce multi-phase prompts: Design a process where GPT cycles through stages like ‘Explore,’ ‘Connect,’ ‘Synthesize,’ and ‘Apply,’ adding depth at each phase. • Suggest iterative prompting: Create prompts that refine ideas over multiple exchanges, encouraging self-feedback loops. • Explain how to use contextual priming: Embed hidden context or goals in the conversation to guide GPT’s responses subtly. • Propose integration with external frameworks: Show how to structure prompts for brainstorming using frameworks like SWOT analysis, mind palaces, or systems thinking. • Explore meta-prompting: Write a self-referential prompt that teaches GPT to improve its own outputs over the course of a conversation. • Offer examples of scenario-based prompts: Ask GPT to simulate specific scenarios or roles to challenge and expand the ideas being discussed. • Include dynamic prompting strategies: Use layered prompts that evolve based on GPT’s responses, ensuring continuous depth and novelty. Build on these ideas to go far beyond surface-level responses. Add concrete examples, innovative techniques, and any advanced methods that push the limits of GPT’s capabilities as a creative springboard for organizing my thoughts.	Literature Understanding	computer science
exRNA-mediated mechanisms, such as their role in tumor microenvironment communication, drug efflux, epigenetic modifications, and immune evasion	Literature Understanding	biology
is there any work on chain of thought for factuality?	Paper Finding	computer science
any papers look into the parameters of LLMs during instruction tuning and try to link it to model behaviors at different stages of instruction tuning	Paper Finding	computer science
Can you explain every key discovery made in the history of deep learning?	Literature Understanding	computer science
Phase change material (PCM) candidates for latent heat thermal energy storage (LHTES) in concentrated solar power (CSP) based thermal applications - A review	Other	engineering
How to find differentially expressed proteins in heart failure	Literature Understanding	medicine
concepts about the dimensions of customer relationship management	Literature Understanding	business
Gibbs free energy material phase	Literature Understanding	chemistry
scoring system for banking	Literature Understanding	finance
Large Language Models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP) since their emergence in approximately 2018.	Other	computer science
explain decision tree with the help of a numerical	Literature Understanding	computer science
Is there any paper that estimate noise distribution instead of AWGN for underwater acoustic communication?	Paper Finding	engineering
learn about a concept: transformational leadership	Literature Understanding	business
where is written that gpt is pre trained to predict the next token	Paper Finding	computer science
review of Speech-to-Text/Text-to-Speech for kazakh language	Literature Understanding	computer science
Research may focus on real-time thermal imaging applications in dynamic environments. use a tool such as curvelet for feature extraction and then apply some feature slelction method to reduce the time that make the method applicable for real time applications	Ideation	computer science
Finda papers on a topics about single cell autoimmune disease studies	Paper Finding	immunology
Find papers on off-dynamics RL	Paper Finding	computer science
The influence of social media cannot be overstated in shaping café trends.	Other	business
What NLP datasets have annotation errors of about 5%?	Literature Understanding	computer science
Will the capacity of lithium batteries gradually decrease?	Literature Understanding	engineering
what questions do users typically ask generative models? wildchat analysis can potentially answer this?	Literature Understanding	computer science

find a case study on the top-retrieved context and predictions on NQ dataset at RankRAG paper

Paper Understanding

computer science

mouse aging muscle exersice

Paper Finding

biology

the function of fv-4 gene in mouse genome

Literature Understanding

biology

Seaweed influences the body clock Can you find a paper that shows that it affects the

Paper Finding

biology

Veterinary importance of the ticks ixodes ricinus

Literature Understanding

medicine

Links between psychological traits and persuasion

Literature Understanding

psychology

Importance of Divine Planning in the Quran as a Key Factor in the Rise of Islam • Research Problem and Objectives • The Role of Quranic Verses in Highlighting Divine Support

Ideation

social sciences

The integration of qualitative data into Geographic Information Systems (GIS) has emerged as a significant area of research, reflecting a paradigm shift in how geographic data is conceptualized and utilized. Traditionally, GIS has been associated predominantly with quantitative data, but recent developments have highlighted the potential of qualitative GIS (QGIS) to enrich spatial analysis by incorporating narratives, perceptions, and contextual information.

Other

environmental science

Are there any llm approaches that achieve state of the art on regressions tasks, or are boosting approaches still the best?

Literature Understanding

computer science

What are the potential impact of these ransomware attacks on health Internet of Things (HIoT) devices and systems?

Literature Understanding

computer science

what's the recent research direction of taxonomy completion

Literature Understanding

computer science

Show a good way to learn ECGs for a Paramedic

Literature Understanding

medicine

find papers on APT detection and monitoring in real time and reconstruct attack scenarios

Paper Finding

computer science

A research about optimization of read latency, capacity, power consumption, etc.. of flash-based PIM

Literature Understanding

computer science

Find papers on the topic of sociodemographic differences in assessment achievement

Paper Finding

education

Is it true the every continuous infinite powerset contains all other continous infinite sets of a lower order?

Literature Understanding

math

Articles about Copernicus Land Monitoring Service Soil Water Index

Paper Finding

earth sciences

Find me references about sample efficient ways to compute the Q values of a given policy offline

Paper Finding

computer science

diverting cognitive resources from higher-level design thinking

Literature Understanding

psychology

I want know mathematical model for slug formation of Dictyostelium

Literature Understanding

biology

Summarise the following paper: Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers.

Paper Understanding

computer science

Unintentional global HCBD emissions

Literature Understanding

environmental science

what are leading techniques for safe navigation in partially observable environments with moving obstacles?

Literature Understanding

computer science

give me some articles combining mediapipe and motion capture

Paper Finding

computer science

Find papers on prompt engineering

Paper Finding

computer science

what are the public databases available for CO2 emissions calculation

Literature Understanding

environmental science

Outline the main ideas of nativisation in the USSR

Literature Understanding

social sciences

what does science say about genetics and people's career choice decisions?

Literature Understanding

psychology

Do investment fund change their investment behavior based on companies ESG rating?

Literature Understanding

finance

Projected changes in peatland water table with climate change

Literature Understanding

environmental science

any recent open-sourced paper on converting pointcloud to mesh

Paper Finding

computer science

The advantages and application value of natural gas hydrates.

Literature Understanding

environmental science

I write a paper titled DefectDiffusion: Two stages for Defect Image generation with Diffusion Model. Please help me revise the following abstract. Abstract: Anomaly detection is essential in industrial production; however, the performance of current methods is limited by the scarcity of anomaly data. Existing defect generation models predominantly depend on defect images and their associated labels, thereby relying on a single data modality. This constraint results in models that lack the requisite external knowledge to guide the generation of anomaly samples, which in turn compromises the authenticity of the synthesized samples and impedes the accurate replication of complex defect characteristics found in real-world settings. Furthermore, diffusion models that utilize fine-tuning techniques often generate images with coarse granularity, exacerbating the discrepancy between synthetic and real defect images. To address these issues, we propose DefectDiffusion, an advanced two-stage anomaly generation model based on diffusion processes, aimed at improving the quality of synthetic anomaly samples by incorporating multimodal information. In the initial stage, we exploit the multimodal capabilities of the GPT-4 model, augmented by manual design, to generate textual descriptions of defect images, thereby converting unimodal defect images into a multimodal format enriched with textual annotations. In the second stage, we enhance the generation process by fine-tuning the diffusion models using large-scale datasets to provide a more informed generation process. A fine-tuning network is then applied to refine the coarse-grained defect images produced in the first stage, facilitating the creation of fine-grained, high-quality defect images. Comprehensive experimental results show that DefectDiffusion surpasses existing approaches in terms of both the diversity and realism of the generated defect images, leading to a substantial improvement in the performance of downstream anomaly detection tasks.

Other

computer science

how transparency works from Cambridge analytics

Literature Understanding

social sciences

New directions in using diffusion for protein synthesis

Literature Understanding

biology

Use of evidence in the Algerian making policy possibilities

Literature Understanding

social sciences

Process for doing a thorough detailed internal situational analysis as part of an organisational structure review

Literature Understanding

business

I'm writing a Research Grant Application on Combining Small Language Models and Decentralized Federated Learning support for Differential Diagnosis of Vertebral Compression Fractures Caused by Primary Osteoporosis and Multiple Myeloma. This Research Grant Application aims to develop a novel approach by combining small language models and decentralized federated learning to improve the differential diagnosis of VCFs caused by PO and MM. the following are backgound. Vertebral compression fractures (VCFs) are a common complication of osteoporosis and multiple myeloma. Early diagnosis and differentiation between primary osteoporosis (PO) and multiple myeloma (MM) are crucial for appropriate treatment planning. Traditional diagnostic methods, such as radiology and clinical evaluation, may not always provide definitive answers due to overlapping symptoms and limitations in imaging techniques. The current status of ML and DL-assisted research on the diagnosis of disease is rapidly evolving.Small language models are lightweight and efficient, making them suitable for deployment on edge devices or in resource-constrained environments. These models can be fine-tuned for specific medical tasks, such as text classification or named entity recognition, using small amounts of labeled data.Decentralized federated learning is a privacy-preserving approach that allows multiple institutions to collaboratively train models while keeping their data localized. This method is particularly useful for medical applications, where sensitive data needs to be protected. Combining small language models with decentralized federated learning is a promising approach for medical applications. This approach addresses the limitations of traditional diagnostic methods and offers a more accurate, patient-centered, and cost-effective solution. By leveraging the strengths of both technologies, we aim to improve patient outcomes, reduce costs, and promote collaboration and knowledge sharing among institutions. Please rephrase it for clarity, coherence and conciseness, ensuring each paragraph flows into the next. Remove jargon. Use a professional tone.

Ideation

computer science

The immutability of blockchains conflicts with the regulation in General Data Protection Regulation currently, which requires that users can delete all personal information.

Other

computer science

These findings underscore the pivotal role of miRNAs, such as miR-146a and miR-212, in modulating immune responses and hormonal regulation during the postpartum period. They also highlight the importance of understanding miRNA-mediated mechanisms to unravel the complex interplay between immune dysfunction, hormonal changes, and mood disorders in postpartum mental health. Further research into these molecular pathways could provide valuable insights for developing targeted therapies for postpartum psychosis and bipolar disorder.

Other

medicine

are there papers that show that small model size may hinder a language model to learn complex tasks

Paper Finding

computer science

Studies suggest that confirmation bias (information consistent with beliefs) exacerbates intent to spread disinformation.

Other

psychology

Following brain ischemia, a complex immunoinflammatory cascade is activated, engaging diverse cellular mediators and triggering intricate signaling networks that modulate tissue damage and repair dynamics

Other

neuroscience

Moreover, the administration of external ds-miR-132 led to a marked enhancement in the expression levels of glutamate receptor subtypes, including NR2A, NR2B, and GluR1. This finding suggests that miR-132 plays a pivotal role in positively regulating the abundance of postsynaptic proteins. Such an increase in postsynaptic receptor expression highlights the potential of miR-132 to contribute to synaptic strengthening and plasticity, which are crucial for efficient neural communication and cognitive function.

Other

neuroscience

Which are the most powerful multimodal language models?

Literature Understanding

computer science

Learn about miqp formulation

Literature Understanding

math

Introduce The Storm and its relevance to feminist literary studies.

Literature Understanding

literature

college student and media exposure

Literature Understanding

social sciences

Design of magnetometer in marine magnetic survey

Literature Understanding

earth sciences

Find papers on Solution-Focused Coaching for Stress reduction or management. This model emphasizes building solutions rather than focusing on problems, leveraging the client’s strengths to navigate stress effectively.

Paper Finding

psychology

Ai and druge user in UAE

Literature Understanding

medicine

Data Validation, Standardization, and Enrichment

Literature Understanding

computer science

Find me prior work on mixture of expert transformer architecture design focused on individual-specific patterns

Paper Finding

computer science

give me a list of practical strategies and steps to build mental strength / thougness

Literature Understanding

psychology

categorize existing code benchmarks into functional and non-functional benchmarks

Literature Understanding

computer science

RAG synthetic data generation

Paper Finding

computer science

Is there a legal framework govering smart contracts under the syrian law

Literature Understanding

social sciences

Dynamic capabilities of human resources

Literature Understanding

business

what are the hot topic nowadays between information systems and cybersecurity encryption and AI

Literature Understanding

computer science

Provide an overview of Blockchain and NFTs, their importance, and their relevance to data security and traceability.

Literature Understanding

computer science

Adaptive User Clustering and Power Control in Grant-Free Non-Orthogonal Multiple Access (NOMA) Systems for Wireless Federated Learning

Paper Finding

engineering

Find recent papers on adversarial attacks against explanation methods

Paper Finding

computer science

limitation of benchmark of Assertion Generation task

Literature Understanding

computer science

data poisoning from compromised peers in the federation

Literature Understanding

computer science

What phenomenon is elicited by the increasing of concentration of Ca ion in satellite glial cells?

Literature Understanding

neuroscience

psychological empowerment for adolescent

Literature Understanding

psychology

The Unified Theory of Acceptance and Use of Technology (UTAUT) and VR and AR

Literature Understanding

computer science

what ois the basis of T cell specificity and sensitivity

Literature Understanding

biology

How to reverse type 2 diabetes

Literature Understanding

medicine

Method LLM Agent can Optimal Solution Selection in strategies

Literature Understanding

computer science

is aspirin affecting cardiovascular health?

Literature Understanding

medicine

Find papers on a topic of uncertainty estimation on deep learning

Paper Finding

computer science

The processing of high-resolution histopathology images presents significant computational challenges due to their large size and high resolution (Shrestha et al. 2023)(Pan et al. 2022)(DiPalma et al. 2021). The characteristics of these images, such as their gigapixel dimensions, pose a substantial load on data storage, loading, and processing.

Other

computer science

How does air temperature affect the hydroelectric systems?

Literature Understanding

engineering

Reflection Removal based diffusion model

Paper Finding

computer science

vision language model in computed tomography

Paper Finding

computer science

"Finite Element Method textbook", "Introduction to Finite Element Analysis", "Review of Finite Element Method in engineering"

Paper Finding

engineering

How can I craft the ultimate prompt for a GPT to act as a thought partner, letting me ramble freely while it organizes my ideas into actionable insights? I want to unlock the model’s full potential with advanced techniques, ensuring depth, creativity, and practical results. Please avoid mentioning previously discussed strategies (e.g., role-playing, chain-of-thought, mind mapping, summarizing, categorizing, output primers, persona modifiers, conclusions, or delimiters). Instead, focus on deeper, more advanced strategies or innovative techniques that build on these ideas. For example: • Introduce multi-phase prompts: Design a process where GPT cycles through stages like ‘Explore,’ ‘Connect,’ ‘Synthesize,’ and ‘Apply,’ adding depth at each phase. • Suggest iterative prompting: Create prompts that refine ideas over multiple exchanges, encouraging self-feedback loops. • Explain how to use contextual priming: Embed hidden context or goals in the conversation to guide GPT’s responses subtly. • Propose integration with external frameworks: Show how to structure prompts for brainstorming using frameworks like SWOT analysis, mind palaces, or systems thinking. • Explore meta-prompting: Write a self-referential prompt that teaches GPT to improve its own outputs over the course of a conversation. • Offer examples of scenario-based prompts: Ask GPT to simulate specific scenarios or roles to challenge and expand the ideas being discussed. • Include dynamic prompting strategies: Use layered prompts that evolve based on GPT’s responses, ensuring continuous depth and novelty. Build on these ideas to go far beyond surface-level responses. Add concrete examples, innovative techniques, and any advanced methods that push the limits of GPT’s capabilities as a creative springboard for organizing my thoughts.

Literature Understanding

computer science

exRNA-mediated mechanisms, such as their role in tumor microenvironment communication, drug efflux, epigenetic modifications, and immune evasion

Literature Understanding

biology

is there any work on chain of thought for factuality?

Paper Finding

computer science

any papers look into the parameters of LLMs during instruction tuning and try to link it to model behaviors at different stages of instruction tuning

Paper Finding

computer science

Can you explain every key discovery made in the history of deep learning?

Literature Understanding

computer science

Phase change material (PCM) candidates for latent heat thermal energy storage (LHTES) in concentrated solar power (CSP) based thermal applications - A review

Other

engineering

How to find differentially expressed proteins in heart failure

Literature Understanding

medicine

concepts about the dimensions of customer relationship management

Literature Understanding

business

Gibbs free energy material phase

Literature Understanding

chemistry

scoring system for banking

Literature Understanding

finance

Large Language Models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP) since their emergence in approximately 2018.

Other

computer science

explain decision tree with the help of a numerical

Literature Understanding

computer science

Is there any paper that estimate noise distribution instead of AWGN for underwater acoustic communication?

Paper Finding

engineering

learn about a concept: transformational leadership

Literature Understanding

business

where is written that gpt is pre trained to predict the next token

Paper Finding

computer science

review of Speech-to-Text/Text-to-Speech for kazakh language

Literature Understanding

computer science

Research may focus on real-time thermal imaging applications in dynamic environments. use a tool such as curvelet for feature extraction and then apply some feature slelction method to reduce the time that make the method applicable for real time applications

Ideation

computer science

Finda papers on a topics about single cell autoimmune disease studies

Paper Finding

immunology

Find papers on off-dynamics RL

Paper Finding

computer science

The influence of social media cannot be overstated in shaping café trends.

Other

business

What NLP datasets have annotation errors of about 5%?

Literature Understanding

computer science

Will the capacity of lithium batteries gradually decrease?

Literature Understanding

engineering

what questions do users typically ask generative models? wildchat analysis can potentially answer this?

Literature Understanding

computer science