Nullify: Null-Space Activation Steering for Training-Free LLM Unlearning
Large Language Models (LLMs) inevitably internalize substantial amounts of sensitive or private information during pre-training, while LLM unlearning aims to selectively erase specific knowledge to prevent privacy leakage with minimal loss of model utility.
By Wei Zhai, Xiang Liu, Qiang Huang, Rui Qian, Lemao Liu, Ziwei Li, Ziqi Wang, Zhitao Huang, Dejing DouarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 9, 2026.
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