Group Contrastive Policy Optimization: Learning Beyond the Self-Exploration Limit with Golden Answers.

arXiv:2510.07790v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a powerful paradigm for improving the reasoning abilities of large language models, yet group-based methods lose their learning signal when eve