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Collections including paper arxiv:2506.08007

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 43
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22 • 160

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 • 144
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 188
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 187

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8 • 93
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 15

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 73
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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

Paper • 2505.24726 • Published May 30 • 277
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 243
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 7.74k • 57
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 128

June 2025 - Top Papers

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8 • 114
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

Paper • 2506.09513 • Published Jun 11 • 101
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 43
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22 • 160

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 73
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

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 • 144
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 59
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 188
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 187

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

Paper • 2505.24726 • Published May 30 • 277
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 243
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 7.74k • 57
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 277
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 128

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8 • 93
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 15

June 2025 - Top Papers

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8 • 114
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

Paper • 2506.09513 • Published Jun 11 • 101
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
Seedance 1.0: Exploring the Boundaries of Video Generation Models

Paper • 2506.09113 • Published Jun 10 • 104

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