Hyojun Ahn

Diffusion for Combating the Hallucination in Large Language Models (Student Abstract)

Large language models (LLMs) often generate hallucinations—fluent yet factually incorrect responses—that undermine reliability in knowledge-intensive tasks. Existing approaches for hallucination mitigation typically rely on external retrieval modules or probability heuristics, which either require a