Ponhvoan Srey

Unsupervised Hallucination Detection by Inspecting Reasoning Processes

Unsupervised hallucination detection aims to identify hallucinated content generated by large language models (LLMs) without relying on labeled data. While unsupervised methods have gained popularity by eliminating labor-intensive human annotations, they frequently rely on proxy signals unrelated to