3 papers
cs.CL2026
Knowledge Editing in Masked Diffusion Language Models
Haewon Park, Yohan Jo
Knowledge editing aims to update or correct factual knowledge in a language model. A widely used approach, locate-then-edit, does this in two steps: it first localizes a fact withi…
cs.CL2026
SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings
Haewon Park, Sangwoo Kim, Yohan Jo
Knowledge editing aims to efficiently correct factual errors in language models. Widely used locate-then-edit methods update an MLP layer by adjusting its weights to change the map…
cs.CL2025
Context-Robust Knowledge Editing for Language Models
Haewon Park, Gyubin Choi, Minjun Kim +1
Knowledge editing (KE) methods offer an efficient way to modify knowledge in large language models. Current KE evaluations typically assess editing success by considering only the…