Fast Unlearning at Scale via Margin Self-Correction

In three linesMASC (Margin Self-Correction) is a language-model unlearning method that efficiently reduces the logit gap between the original next token and its alternatives, without requiring downstream evaluation. Tested on TOFU, MUSE News, and MUSE Books, it achieves competitive forget-retain trade-offs at a fraction of existing baselines' computational cost.

Summary generated by Claude — human-verified