RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
arXiv:2512.04457v2 Announce Type: replace
Abstract: Removing specific data influence from large language models (LLMs) remains challenging, as retraining is costly and existing approximate unlearning methods are often unstable. The challenge is exacer…