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Collections including paper arxiv:2508.05629

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

research-catchup

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Paper • 2508.01059 • Published Aug 1 • 32
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Paper • 2508.01191 • Published Aug 2 • 238
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 192

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 130

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 130
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Paper • 2508.02120 • Published Aug 4 • 19
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Paper • 2508.01191 • Published Aug 2 • 238
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

Paper • 2508.03694 • Published Aug 5 • 50
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
Improving Video Generation with Human Feedback

Paper • 2501.13918 • Published Jan 23 • 52
Unified Reward Model for Multimodal Understanding and Generation

Paper • 2503.05236 • Published Mar 7 • 122

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search

Paper • 2508.02091 • Published Aug 4 • 12
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 12.1k • 56
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 127

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 240
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

research-catchup

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Paper • 2508.01059 • Published Aug 1 • 32
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Paper • 2508.01191 • Published Aug 2 • 238
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 192

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

Paper • 2508.03694 • Published Aug 5 • 50
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
Improving Video Generation with Human Feedback

Paper • 2501.13918 • Published Jan 23 • 52
Unified Reward Model for Multimodal Understanding and Generation

Paper • 2503.05236 • Published Mar 7 • 122

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search

Paper • 2508.02091 • Published Aug 4 • 12
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180
R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 130

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 130
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Paper • 2508.02120 • Published Aug 4 • 19
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Paper • 2508.01191 • Published Aug 2 • 238
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Paper • 2508.05629 • Published Aug 7 • 180

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 12.1k • 56
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 276
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 127

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