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AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning
Multimodal large language models (MLLMs) can memorize identity-specific facts about people in their fine-tuning data, creating privacy risks when a person requests deletion. Existing MLLM unlearning methods often assume access to retain images or ground-truth answers during deletion, which is unreal
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