ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models 事件

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models arXiv:2605.18879v3 Announce Type: replace-cross Abstract: Large language models inevitably retain sensitive information, defined as inputs that may induce harmful generations, due to training on massive web corpora, raising concerns for privacy and safety. Existing machine unlearning methods primarily rely on retraining or aggressive fine-tuning, which are either computationally expensive or prone to degrading related knowledge