Xiaoliang Yang

One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit

Large language models (LLMs) encode vast world knowledge but struggle to stay up-to-date, often leading to errors and hallucinations. Knowledge editing offers an efficient alternative to retraining, enabling targeted modifications by updating specific model parameters. However, existing methods prim…