Author

Shaohan Huang

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#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

Conference Open access Jul 2026

VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation

Vision-Free Adaptation (VFA) is proposed, a framework that decouples multilingual language enhancement from visual alignment by composing complementary task vectors over a shared LLM backbone.

Yixia Li, Yaqing Shi, Zhiwen Ruan et al. · Annual Meeting of the Associ... · 0 citations