The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

Neural Information Processing Systems 

Reinforcement learning with verifiable rewards (RLVR) is a promising approach for training language models (LMs) on reasoning tasks that elicit emergent long chains of thought (CoTs).