Author

Junjie Wang

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Preprint Aug 2026

Simple-OPD: Demystifying Warm-up for On-policy Distillation

On-policy distillation (OPD) trains a student on its own rollouts with token-level supervision from teacher models, but its effectiveness can depend strongly on the warm-up stage before OPD. In this paper, we demystify warm-up for OPD from both data and training perspectives. For data, we find that effective warm-up re...

Tao Liu, Taiqiang Wu, Mao Zheng et al. · 1 citation

#machine learning Preprint Aug 2026

Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry

This work introduces credit-addressable reasoning, in which the semantic units exposed during inference also define where learning compares alternatives and assigns credit, and instantiates Code-CoT, which retains the diagram, represents visual relations as line-addressable executable code, and organizes reasoning into...

Jia-Ni Guo, Junjie Wang, Jie Wu et al. · 0 citations