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SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning

Source
arxiv.org
Author
Jianze Wang, Kunwang Zheng, Ying Liu, Yu Cao, Qilong Zhang, Jinlong Chen, Hua Yang, Qianglong Chen
Date
Why it matters

Test-time RL without answer voting or an external judge: the model evolves its own discriminating rubrics and scores rollouts from verdict- likelihoods, reporting ~20-point gains on HealthBench and ResearchQA with OOD transfer.

Terms in this piece · Glossary
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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