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Ronghao Lin

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#machine learning Preprint Sep 2026

Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs

DMC-Repair is proposed, which trains models on the same kind of cross-modal swapped samples while assigning supervision according to the modality specified by the question, and reduces the image-induced share of the answer effect by 59.9%, effectively suppressing the cross-modal shortcut without compromising audio-ques...

Yue-Ran Ma, Ronghao Lin · 0 citations

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