Notable AIINT arXiv cs.AI

Suppression Is Not Forgetting: Residual Recoverability in Visual Concept Unlearning for VLMs

arXiv:2604.03114v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) may need to forget visual concepts after deployment because of privacy, copyright, licensing, safety, or policy changes. Conventional machine unlearning…

Read the full story at arXiv cs.AI ↗

ImpactNotable 31/100
Why it mattersRule-based estimate: event keywords (+4); trust 6/10.
RegionsGlobal
Published1 h ago (Wed, 30 Sep 2026 04:00:00 GMT)
RetrievedWed, 30 Sep 2026 04:00:56 GMT via rss
ClassifiedWed, 30 Sep 2026 04:01:19 GMT by heuristic
AuthorZhangyun Tan, Zeliang Zhang, Jiani Liu, Susan Liang, Yolo Y. Tang, Lisha Chen, Chenliang Xu