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This paper identifies and addresses the 'editing decoupling failure' in Multimodal LLMs, where knowledge updates via multimodal inputs fail to generalize to unimodal queries. The authors propose DECODE, a method to disentangle and localize modality-specific neurons for more effective knowledge editing.