FisherEdit: Fisher Information Guided Knowledge Editing for Large Language Models
FisherEdit is proposed, a theoretically grounded method built on Fisher geometry, which replaces coarse activation-space projections with importance-aware regularization in parameter space and achieves state-of-the-art performance while better preserving model stability and downstream task accuracy.