AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning
AIM is proposed, a two-stage method that anchors an identity-forgetting target with a universal visual prompt and then matches the vision encoder to that target under a Fisher-based constraint, which achieves competitive identity forgetting while preserving non-deleted identities, prior knowledge, and visual perception on the same images.
Wonjun Lee, Jaehyuk Jang, Kangwook Ko et al.
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