Xinpeng Wang

OPD Before RL: Warm-Starting Rubric-Based RL with On-Policy Distillation

Many useful language-model tasks cannot be evaluated by exact outcome verification. Rubric-based reinforcement learning (RL) addresses this issue by scoring open-ended responses against explicit criteria. However, because the reward is assigned after the complete response, the training signal does not directly identify...