KLOD: Locality-Preserving Knowledge Editing via Non-Target Distribution Preservation
KLOD is proposed, a bounded and distribution-preserving objective for fine-tuning-based knowledge editing that separates the intended target update from distributions that should remain stable and substantially mitigates locality degradation while maintaining high edit reliability.