AI RESEARCH
Reinforcement Learning with Robust Rubric Rewards
arXiv CS.AI
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ArXi:2605.30244v1 Announce Type: cross While Reinforcement Learning with Verifiable Rewards (RLVR) is effective for deterministically checkable tasks, many vision-language tasks are partially verifiable, demanding multi-criteria supervision (e.g., perceptual details, reasoning steps, and constraints). Rubrics provide a natural interface for this fine-grained supervision, but their effectiveness depends on the execution accuracy during online RL.