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Dao-Cheng Fu

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#machine learning Preprint Oct 2026

Rethinking Relative Policy Differences Transfer of On-Policy Distillation

A unified view is developed in which the log-probability ratio between a proxy expert and a proxy reference defines an implicit reward for KL-regularized policy optimization, which enables any-to-any transfer across models that differ in scale, training stage or generation.

Rong Wu, Dao-Cheng Fu, Yu Yang et al. · 0 citations

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

This paper presents IterCAD, a unified multimodal agent framework for closed-loop, interactive CAD generation and editing, and introduces the IterCAD-Bench evaluation suite, establishing a survivor-bias-free standard that unifies code validity and geometric precision.

Tao Hu, Jiaxin Ai, Licheng Wen et al. · 8 citations

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