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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 Review Oct 2026

Humanize: Judgement Engineering for Agentic Coding

Agentic coding makes code generation cheap, but reliable completion remains difficult: the agent that writes the code is a weak judge of whether it is done. We present Humanize, a multi-agent orchestration workflow for agentic coding built around judgement engineering: explicit, mechanically enforced decisions at the b...

Si-Hao Liu, Li-Geng Zhu, Zi-Jian Zhang et al. · 0 citations

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