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Yuwei Zhang

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#machine learning Preprint Sep 2026

Training LLM Judges from Language Feedback via Position-Selective Self-Distillation

We study training LLM judges from natural language feedback, especially for subjective tasks where the verdict depends strongly on which evaluation criteria the judge invokes and how it weighs them. The dominant approach, outcome-supervised RL (e.g., GRPO), credits every token in the rollout with a single scalar determ...

Ilgee Hong, Chang-Long Yu, Zhenghao Xu et al. · 0 citations
Jul 2026

Process Reward Informed Tree Rollout for Effective Multi-Turn RL

This work proposes Process-Scorer Guided Adaptive Tree Rollout (PATR), a quality-aware rollout framework for multi-turn agent RL that uses task-appropriate process feedback to score partial trajectories, selectively branches from promising states, reuses shared prefixes, and conservatively stops degenerate paths to red...

Xintong Li, Sha Li, Yuwei Zhang et al. · 0 citations

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