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When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

Wang, Shaowen et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
Despite substantial advances, large language models (LLMs) continue to exhibit hallucinations, generating plausible yet incorrect responses. In this paper, we highlight a critical yet previously underexplored class of hallucinations driven by spurious correlations -- superficial but statistically pr
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