Papers with forget operation

1 papers
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning (2025.findings-acl)

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Challenge: Existing methods for MU forget quality and model utility are not fully explored for safety in MLLMs.
Approach: They propose a safety unlearning benchmark for MLLMs to measure over-forgetting . they propose MU methods to forget quality and model utility .
Outcome: The proposed method reduces over-forgetting by 79.5% while maintaining forget quality and model utility.

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