AI RESEARCH
When Answers Stray from Questions: Hallucination Detection via Question-Answer Orthogonal Decomposition
arXiv CS.LG
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ArXi:2605.14449v1 Announce Type: new Hallucination detection in large language models (LLMs) requires balancing accu racy, efficiency, and robustness to distribution shift. Black-box consistency methods are effective but demand repeated inference; single-pass white-box probes are effi cient yet treat answer representations in isolation, often degrading sharply under domain shift.