COP enables multiple sequential unlearning requests by mathematically preventing new updates from undoing previous deletions, storing only low-rank information per layer and working with existing unlearning methods.
This paper addresses the problem of repeatedly removing sensitive data from language models without retraining. When unlearning requests happen sequentially, standard methods degrade in performance.