AINeutralarXiv – CS AI · 15h ago6/10
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The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
Researchers demonstrate that sequential knowledge editing in large language models achieves stability through proper constraint accounting rather than complex regularization mechanisms. The work establishes formal equivalence between one-time and sequential edits, simplifies existing methods, and addresses conflicting updates—offering a more interpretable framework for targeted factual corrections without model retraining.