AI RESEARCH
Rethinking Post-Unlearning Behavior of Large Vision-Language Models
arXiv CS.LG
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ArXi:2506.02541v2 Announce Type: replace Large Vision-Language Models (LVLMs) can recognize individuals in images and disclose sensitive personal information about them, raising critical privacy concerns. Machine unlearning aims to remove such knowledge from the model. However, existing methods rarely prescribe what the model should output in place of the forgotten content, leading to Unlearning Aftermaths: degenerate, hallucinated, or excessively refused responses.