一作ACL 2026Poster· Natural Language Processing
T am E dit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing
Shiqiang Tian · Cheng Ding · Qin Chen · Jie Zhou · Liang He
摘要
Knowledge editing is a promising method for updating Large Language Models efficiently. However, previous studies often suffer from poor specificity in continual editing, as they typically focus on single edits or preventing knowledge forgetting. To address this, we propose TamEdit, a trajectory-...