DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning Paper • 2504.07128 • Published Apr 2 • 84
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Paper • 2504.13837 • Published Apr 18 • 125
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 • 72
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
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 • 41