CALIBURN: Self-Calibrated LLM Unlearning Alignment

Abstract

LLM unlearning offers a practical mechanism for addressing safety and privacy concerns by removing the influence of undesirable knowledge from pretrained language models. CALIBURN calibrates unlearning updates using the target model’s confidence, enabling fine-grained forgetting while better preserving general model utility.