CCHall is the first benchmark that jointly evaluates cross-lingual and cross-modal hallucination detection in multimodal LLMs, and current models perform poorly on it.
In Proceedings of the 62nd Annual Meeting of the As- sociation for Computational Linguistics (Volume 4: Student Research Workshop), pages 186–194
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CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
CCHall is the first benchmark that jointly evaluates cross-lingual and cross-modal hallucination detection in multimodal LLMs, and current models perform poorly on it.