tracked author

Yuhang Yang

CriPO co-first author and Zhejiang University Software student; the paper records joint Zhejiang University–ByteDance affiliation and an internship contribution. Explicit paper links are required because the name is common.

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归档 Jul 22, 2026

Enhancing Rubric based RL via Self Distillation

把评分量规聚合后的学习信号丢失拆成当前采样未覆盖和已满足但整体优势非正两类，用评分项条件自教师注入缺失行为，并以反事实自教师定位 token 后局部改写优势；两种 Qwen3 小模型在五项裁判评测中较 GRPO 平均提高 3.2 和 1.4 分，证据缺少多随机种子与完整硬件条件。

待审阅 2607.18082-cripo-rubric-rl-self-distillation Credit Assignment On-Policy Distillation RL Algorithm