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M. Zighem

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#natural language process... Preprint Sep 2026

Halluscoring 2026: The first shared task on llms hallucination detection and answer verification

The shared task is a shared task for evaluating hallucination detection and factual verification in Arabic question answering under challenging generalization settings, based on two Arabic datasets: HalluScore and HalluTruthQA.

Aisha Alansari, Abdessalam Bouchekif, A. Hasanaath et al. · 0 citations
Preprint Aug 2026

HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification

HalluTruthQA-4K provides a reusable resource for hallucination detection, span-level error localization, explanation generation, factual verification, and the broader evaluation of factual reliability in Arabic language models.

S. E. Bekhouche, Abdessalam Bouchekif, H. Telli et al. · 0 citations
#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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