Author

Noor Abo Mokh

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#artificial intelligence Preprint Sep 2026

EDRAC: Benchmarking Arabic Dialect Reading Comprehension

This work introduces EDRAC, the first large-scale benchmark for dialectal Arabic machine reading comprehension (MRC) and generative QA, covering five major dialects: Egyptian, Moroccan, Emirati, Syrian, and Saudi Arabic, and benchmarks Arabic-centric and multilingual LLMs on EDRAC using lexical and semantic metrics.

Noor Abo Mokh, K. Chirkunov, Teresa Lynn et al. · 0 citations

#natural language process... Jun 2026

When Similar Means Different: Evaluating LLMs on Arabic-Hebrew Cognates

This work introduces SemCog Bench, a curated benchmark of 1,858 Arabic--Hebrew word pairs with sentence-level annotations for cognate identification and semantic disambiguation and finds that context and scale yield model-dependent gains, while original-script inputs generally perform best.

Junhong Liang, Noor Abo Mokh, Bashar Alhafni · arXiv.org · 0 citations