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Liang-Bing Zhao

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#machine learning Preprint Sep 2026

On-Policy Self-Distillation for Multi-Turn Image Editing

MT-OPSD is proposed, an on-policy self-distillation framework that trains the model on self-generated conditioning states with editing supervision from a clean-conditioned teacher, without requiring multi-turn annotations, and substantially improves long-horizon editing success and reduces multi-turn collapse.

Liang-Bing Zhao, Le Zhuo, Mohamed Elhoseiny · 0 citations

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