DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published 8 days ago • 106
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation Paper • 2502.19414 • Published 28 days ago • 20
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning Paper • 2502.14768 • Published Feb 20 • 47
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity Paper • 2502.13063 • Published Feb 18 • 67
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 • 43
Teaching Language Models to Critique via Reinforcement Learning Paper • 2502.03492 • Published Feb 5 • 24
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! Paper • 2502.07374 • Published Feb 11 • 37
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates Paper • 2502.06772 • Published Feb 10 • 21
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Paper • 2502.05003 • Published Feb 7 • 43
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling Paper • 2502.06703 • Published Feb 10 • 147
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published Feb 10 • 60