Author

Reham M. Marzouk

2 papers indexed here

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#natural language process... Preprint Sep 2026

YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models

YallaMorph is introduced, a large-scale benchmark for Arabic morphological generation covering verbs, nouns, adjectives, their cliticized forms, and invalid configurations over 600K benchmark entries, which shows that Arabic morphological generation remains difficult.

Mahmoud Reda, Salam Khalifa, Reham M. Marzouk et al. · 0 citations

#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