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Eman Albilali

Eman Albilali has 3 papers in our library, in 2021–2025, most of them on Semitic languages, Language models & pretraining, Question answering; often with Ahmed Abdelali, Amal Almazrua, Asma Al Wazrah.

3 papers in our library · 2021–2025

OpenAlex · ORCID · h-index 3 · 10 works · 25 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 15 times in our library · ⭐ Paper Stars ranking: #9267

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓King Saud UniversityRiyadh · Saudi Arabia2013–2025 · 6 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksEducation · 2 worksSocial Sciences · 2 works

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 3 worksLanguage models & pretraining · 1 workInterpretability · 1 workQuestion answering · 1 work

 Works by year

2020s

20252 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BALSAM: A Platform for Benchmarking Arabic Large Language Models (2025 · 14 citations)
    Arabic LLMs still lag behind English ones, and the gap is hard to measure. Most Arabic benchmarks use static public data and cover only a narrow set of capabilities. They also lack a hosted platform with hidden test sets, so training-data contamination is likely and progress is difficult to track. A large consortium…
  2. What does BERT Learn from Arabic Machine Reading Comprehension Datasets? (2021 · 2 citations)
    The paper asks whether the high extractive reading comprehension scores of Arabic pre-trained language models reflect real understanding.
  3. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models (2025 · 1 citation)
    Most Arabic LLM evaluation is either translated from English benchmarks or narrowly focused on knowledge questions.

 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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