AINeutralarXiv – CS AI · 6h ago6/10
🧠
Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model Unlearning
Researchers introduce NSRU (Null-Space Constrained Response-Specified Unlearning), a novel framework for controlling what large language models forget while preserving their general capabilities. The method uses low-rank adaptation constrained to null spaces of retain subspaces, enabling precise suppression of undesired knowledge with specified replacement responses while maintaining model utility on benign tasks.