Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published 8 days ago • 146
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Paper • 2506.01144 • Published 9 days ago • 14
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning Paper • 2505.24726 • Published 12 days ago • 184
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning Paper • 2505.23754 • Published 12 days ago • 15
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model Paper • 2505.17561 • Published 19 days ago • 30
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning Paper • 2504.07128 • Published Apr 2 • 85
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Paper • 2504.13837 • Published Apr 18 • 128
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published Mar 18 • 128
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation Paper • 2502.19414 • Published Feb 26 • 20
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning Paper • 2502.14768 • Published Feb 20 • 48
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity Paper • 2502.13063 • Published Feb 18 • 73
ReLearn: Unlearning via Learning for Large Language Models Paper • 2502.11190 • Published Feb 16 • 29
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Paper • 2502.12115 • Published Feb 17 • 45