AI RESEARCH
Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards
arXiv CS.CL
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ArXi:2605.14539v1 Announce Type: new Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as an effective paradigm for improving the reasoning capabilities of large language models. However, RLVR