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Maitha Alhammadi

Maitha Alhammadi has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Semitic languages; often with Hamza Alobeidli, Ahmed Alzubaidi, Badreddine Noune.

2 papers in our library · 2023–2026

OpenAlex · h-index 2 · 4 works · 14 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 37 times in our library · ⭐ Paper Stars ranking: #7931

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

🔬Technology Innovation InstituteAbu Dhabi · United Arab Emirates2023–2026 · 2 paperscurrent🎓University of SharjahSharjah · United Arab Emirates2022–2026 · 2 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 · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksEducation · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 2 worksSemitic languages · 2 works

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AlGhafa Evaluation Benchmark for Arabic Language Models (2023 · 46 citations)
    Arabic large language models are advancing quickly, but there are still few tools to measure them. Arabic is spoken by about 360 million people, yet it makes up only around half a percent of CommonCrawl. The authors address this gap with AlGhafa, a multiple-choice benchmark for zero- and few-shot evaluation. They…
  2. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation (2026)
    Arabic LLM evaluation draws on many benchmarks, but they are uneven. Several are translated from English, many native sets were never carefully checked, coverage is scattered, and outputs are rarely published. QIMMA is a leaderboard that audits its sources before scoring any model. The authors chose 14 mostly native…

 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 37 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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