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Jin-Dong Jiang

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#natural language process... Preprint Oct 2026

When Do We Need On-Policy Distillation? Distilling on Offline Student Rollouts Is Often Better

On-policy distillation (OPD) has become increasingly popular for transferring teacher capabilities to student models. In this work, we ask a critical research question: Is on-policy sampling always beneficial for distilling arbitrary teacher-student pairs? We show that a simple alternative, Semi-OPD, which distills fro...

Siyan Zhao, Yong-Gan Fu, Jin-Dong Jiang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents

Terminal agents act through stochastic model generations, yet the ability to generate a useful action does not ensure its reliable execution. A poor command (e.g., wrong package install) can change the environment in ways that hinder subsequent progress, even when the model could generate a better alternative. We inves...

Minki Kang, Ryo Hachiuma, Shao-Kun Zhang et al. · 1 citation

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