AINeutralarXiv – CS AI · 10h ago6/10
🧠
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
Researchers propose Orthogonal Representation Editing (ORE), a novel method for efficiently updating factual knowledge in Large Language Models without full retraining. The technique addresses a critical limitation in batch knowledge editing by decoupling semantic representation entanglement through orthogonal constraints, demonstrating superior performance including cross-lingual capabilities.