AINeutralarXiv – CS AI · 6h ago6/10
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Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
Researchers propose Visual-Noise Guided In-Context Distillation (VGID), a novel framework for removing sensitive knowledge from multimodal large language models without full retraining. The method combines visual perturbation with textual in-context unlearning to achieve parameter-level knowledge removal while maintaining model performance, addressing critical privacy and safety concerns in MLLMs.