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Diagnosing and Mitigating Evidence Misgrounding in Multimodal Knowledge Editing

arXiv:2610.33075v1 Announce Type: new Abstract: Multimodal knowledge editing aims to update visually grounded facts in Multimodal Large Language Models (MLLMs) while preserving unrelated text and visual behaviors. However, standard answer-level metrics can hide evidence misgrounding: an edit may pr…

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  1. 2026-10-27 04:00 · arXiv cs.CV
    Diagnosing and Mitigating Evidence Misgrounding in Multimodal Knowledge Editing

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