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Author

Qilong Zhang

1 paper indexed here

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Jul 2026

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

SERTPO (Self-Evolving Rubric Policy Optimization), which replaces answer voting with a closed loop that co-evolves response evidence, query-specific rubrics, and policy parameters, and supports OOD transfer and continued cross-benchmark evolution.

Jian-Ze Wang, Kun-Wang Zheng, Ying Liu et al. · 2 citations

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