Author

De-Lu Zeng

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Preprint Oct 2026

RubricOpt: Self-Revision of Semantic Rubrics for Preference Optimization

A model's failures can reveal gaps in the behavioral criteria guiding its training. We introduce RubricOpt, a framework that lets a policy revise these criteria within preference optimization. The policy diagnoses its own rubric-free outputs, retains requirements already covered by the rubric, and edits clauses that le...

Wei Chen, Yu-Bing Wu, Shi-Gui Li et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling

Reinforcement learning with verifiable rewards (RLVR) trains language models from checked task outcomes, but assigning a terminal reward to individual reasoning tokens or actions remains difficult. Group-relative methods such as Group Relative Policy Optimization (GRPO) sample several attempts per prompt, but lose thei...

Wei Chen, Yu-Bing Wu, Zhou-Shi Xu et al. · 0 citations