New Study Challenges Assumptions About Verifiable Reasoning in Language Models
A new paper introduces metrics to evaluate the effectiveness of reinforcement learning from verifiable rewards (RLVR) in language models. The study finds that reasoning chains may not always be causally important or sufficient for verifying answers.