Harmony in Diversity: Multi-domain Contrastive Policy Optimization for Large Reasoning Models 事件

Harmony in Diversity: Multi-domain Contrastive Policy Optimization for Large Reasoning Models arXiv:2605.25443v1 Announce Type: new Abstract: Post-training has significantly enhanced the reasoning capability of Large Reasoning Models (LRMs), especially with Reinforcement Learning (RL) like Group Relative Policy Optimization (GRPO). However, GRPO-style RL methods in multi-domain settings often fail to achieve consistent improvements across all domains due to inherent interference in policy optim