Rongxi Guo

On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models

Sequential knowledge editing techniques aim to continuously update knowledge in large language models at low cost, preventing models from generating outdated or incorrect information. However, existing sequential editing methods suffer from a significant decline in editing success rates after long-t