-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 258
Collections
Discover the best community collections!
Collections including paper arxiv:2508.05629
-
LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 50 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178 -
Improving Video Generation with Human Feedback
Paper • 2501.13918 • Published • 52 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 12.3k • 53 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 126
-
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 32 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 236 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 190
-
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 127 -
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Paper • 2508.02120 • Published • 19 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 236 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178
-
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
Paper • 2505.14231 • Published • 52 -
Skywork-R1V3 Technical Report
Paper • 2507.06167 • Published • 71 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 35 -
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Paper • 2507.10532 • Published • 88
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 258
-
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 32 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 236 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 190
-
LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 50 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178 -
Improving Video Generation with Human Feedback
Paper • 2501.13918 • Published • 52 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123
-
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 127 -
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Paper • 2508.02120 • Published • 19 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 236 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 178
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 12.3k • 53 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 126
-
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
Paper • 2505.14231 • Published • 52 -
Skywork-R1V3 Technical Report
Paper • 2507.06167 • Published • 71 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 35 -
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Paper • 2507.10532 • Published • 88