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Zi-Xuan Yang

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#artificial intelligence Preprint Sep 2026

Not Every Token Is Worth Distilling: Selective Supervision for Direct-OPD

Direct On-Policy Distillation (Direct-OPD) transfers reinforcement-learning-induced policy improvements from a small model to a larger student by using the token-level log-ratio between post-RL and pre-RL checkpoints as dense supervision on the student's own rollouts. This transfer rewards the policy shift at every sta...

Yibo Zhao, Zi-Xuan Yang, Yun-Shi Lan et al. · 0 citations

MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment

Matching submissions with suitable reviewers at scale is a growing challenge for major venues, yet existing approaches either rely on coarse proxy signals that conflate general relatedness with true suitability, or require expensive human annotations that are difficult to scale for training. We propose MERIT, a two-sta...

Zi-Xuan Yang, Yibo Zhao, Weicong Liu et al. · 0 citations

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