MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing 事件

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing arXiv:2605.24919v1 Announce Type: new Abstract: 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 a