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Emad Mohamed

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#natural language process... Preprint Jul 2026

HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering

Large language models (LLMs) can generate fluent Arabic answers, yet factual errors remain difficult to detect, localize, explain, and verify. Existing hallucination benchmarks often provide response-level labels, with limited support for identifying the exact erroneous content, explaining why it is incorrect, or selec...

Abdessalam Bouchekif, M. Zighem, S. E. Bekhouche et al. · 2 citations

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