Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method

Teodora Baluta, Pascal Lamblin, Daniel Tarlow +2

Machine unlearning aims to solve the problem of removing the influence of selected training examples from a learned model. Despite the increasing attention to this problem, it rema…