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Quan-Quan Gu

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#artificial intelligence Preprint Sep 2026

Understanding Off- vs On-Policy Distillation: A Tale of Distinct Training Objectives

On-policy distillation (OPD) learns from teacher feedback on student-generated responses and has shown promise in reducing forgetting relative to supervised fine-tuning (SFT). However, its benefits and fragility remain incompletely understood. We study sequential distillation from multiple teachers, where the student m...

Qi-Wei Di, Xu-Heng Li, Kaixuan Ji et al. · 0 citations

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