AI RESEARCH
MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing
arXiv CS.CL
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ArXi:2605.24919v1 Announce Type: new Hallucinations in Large Language Models (LLMs) represent a critical barrier to their reliable deployment, a vulnerability heavily exacerbated in non-English and resource-constrained contexts. Existing detection approaches that rely on output confidence heuristics or single-layer internal representations frequently fail to capture deep, complex factual inconsistencies across diverse languages. To address this, we