From Out-of-Distribution Detection to Hallucination Detection: A Geometric View 事件

From Out-of-Distribution Detection to Hallucination Detection: A Geometric View arXiv:2602.07253v2 Announce Type: replace-cross Abstract: Detecting hallucinations in large language models is a critical open problem with significant implications for safety and reliability. While existing hallucination detection methods achieve strong performance in question-answering tasks, they remain less effective on tasks requiring reasoning. In this work, we revisit hallucination detection through the lens