MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off

概要

arXiv:2603.12677v3 Announce Type: replace-cross Abstract: Existing locate-then-edit Knowledge Editing (KE) methods typically decompose editing into two stages: upstream target representation optimization and downstream constrained parameter optimization. The optimization across the two stages is di…