2 papers
cs.AI2026
Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
Haoben Huang, Shuxin Liu, Ou Wu +1
Single-edit updates in large language models can trigger ripple effects across local knowledge neighborhoods: desirable propagation to related facts and unintended perturbation of…
cs.CL2026
MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
Shuxin Liu, Di Gao, Ou Wu
Existing locate-then-edit Knowledge Editing (KE) methods typically decompose editing into two stages: upstream target representation optimization and downstream constrained paramet…