AI RESEARCH
Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models
arXiv CS.AI
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ArXi:2605.29826v1 Announce Type: cross Existing methods in Multimodal Knowledge Editing (MKE) have advanced the ability to correct outdated or inaccurate knowledge in Multimodal Large Language Models (MLLMs). However, they exhibit a critical limitation: while effectively modifying target factual pairs, they fail to generalize edits to logically related queries and often cause unintended alterations to unrelated but visually or semantically linked information.