SmolVLM: Redefining small and efficient multimodal models
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2504.05299
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Published
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158
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lewtun
authored
a
paper
7 days ago
edbeeching
authored
a
paper
about 1 month ago
lewtun
authored
a
paper
about 1 month ago
CohenQu
authored
3
papers
about 1 month ago
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Paper
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2407.18219
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Published
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3
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
Paper
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2310.18247
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Published
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
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2503.07572
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Published
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41
Post
2360
Introducing OlympicCoder: a series of open reasoning models that can solve olympiad-level programming problems 🧑💻
- 7B open-r1/OlympicCoder-7B
- 32B open-r1/OlympicCoder-32B
We find that OlympicCoder models outperform Claude 3.7 Sonnet, as well as others over 100x larger 💪
Together with the models, we are releasing:
📊CodeForces-CoTs: new dataset of code problems from the most popular competitive coding platform, with R1 traces in C++ and Python open-r1/codeforces-cots
🏆 IOI'2024: a new benchmark of VERY hard programming problems where even frontier models struggle to match human performance open-r1/ioi
For links to the models and datasets, check out our latest progress report from Open R1: https://huggingface.co/blog/open-r1/update-3
- 7B open-r1/OlympicCoder-7B
- 32B open-r1/OlympicCoder-32B
We find that OlympicCoder models outperform Claude 3.7 Sonnet, as well as others over 100x larger 💪
Together with the models, we are releasing:
📊CodeForces-CoTs: new dataset of code problems from the most popular competitive coding platform, with R1 traces in C++ and Python open-r1/codeforces-cots
🏆 IOI'2024: a new benchmark of VERY hard programming problems where even frontier models struggle to match human performance open-r1/ioi
For links to the models and datasets, check out our latest progress report from Open R1: https://huggingface.co/blog/open-r1/update-3
- 1 reply
aviralku
authored
13
papers
2 months ago
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
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2310.10639
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Published
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3
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Paper
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2402.02651
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Published
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Paper
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2402.19446
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Published
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
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2403.05612
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Published
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3
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Paper
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2404.14367
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Published
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1
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Paper
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2406.14532
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Published
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Paper
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2407.18219
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Published
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3
Generative Verifiers: Reward Modeling as Next-Token Prediction
Paper
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2408.15240
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Published
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13
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
Paper
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2410.08146
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Published
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
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2410.13816
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Published
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2
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
Paper
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2412.07762
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Published
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
Paper
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2412.15287
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Published
Value-Based Deep RL Scales Predictably
Paper
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2502.04327
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Published
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6