AI RESEARCH
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
arXiv CS.AI
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ArXi:2603.10101v1 Announce Type: cross Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced the reasoning capacity of Large Language Models (LLMs). However, RLVR solely relies on final answers as outcome rewards, neglecting the correctness of intermediate reasoning steps