Confidently Wrong: Detecting Hallucinations in Financial Question Answering from LLM Internal States

Richard Zhe Wang

Large language models (LLMs) in financial applications fail most consequentially when they are confidently wrong. Hedged, uncertain answers invite scrutiny, whereas confident error…