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cs.CL2026
Moir: Let the Model Direct Its Own Story for Robust Cross-Domain Knowledge Editing
Jea Kwon, Jiwon Kim, Dong-kyum Kim +1
While language models remain frozen at their training state, the world evolves continuously. Knowledge editing has emerged as a key alternative to full retraining, but its deployme…
cs.CL2026
Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions
Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti +3
Human moral judgment is context-dependent and modulated by interpersonal relationships. As large language models (LLMs) increasingly function as decision-support systems, determini…
cs.CL2026
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Minsung Kim, Dong-Kyum Kim, Jea Kwon +3
Large language models leverage both parametric knowledge acquired during pretraining and in-context knowledge provided at inference time. Crucially, when these sources conflict, mo…