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Acknowledgements This research was funded by the EU Horizon project TrustLLM (grant agreement number 101135671)

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cs.CL 1

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2026 1

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A multilingual hallucination benchmark: MultiWikiQHalluA

cs.CL · 2026-05-04 · unverdicted · novelty 6.0

Synthetic multilingual hallucination datasets and classifiers show higher hallucination rates for the 0.6B Qwen3 model (up to 60%) and for lower-resource languages like Icelandic compared with larger models.

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  • A multilingual hallucination benchmark: MultiWikiQHalluA cs.CL · 2026-05-04 · unverdicted · none · ref 8

    Synthetic multilingual hallucination datasets and classifiers show higher hallucination rates for the 0.6B Qwen3 model (up to 60%) and for lower-resource languages like Icelandic compared with larger models.