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Shaikha Alsuwaidi

Shaikha Alsuwaidi has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Semitic languages, Evaluation & benchmarks; often with Ahmed Alzubaidi, Basma El Amel Boussaha, Hakim Hacid.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 5 works · 1 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 15 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9896

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 Emirates2025–2026 · 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps (2025 · 8 citations)
    Arabic LLM evaluation is spread across dozens of benchmarks that differ in how they were built, how large they are, and whether others can reproduce them.
  2. Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes (2025 · 2 citations)
    Arabic remains poorly served by large language models. High-quality Arabic text is scarce, and many existing systems lean on machine-translated data, which tends to lose cultural and idiomatic meaning. The authors adapt the existing Falcon3-7B model to Arabic instead of training a new model from scratch. Their…
  3. 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…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and GapsarXiv:2510.13430Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.2025 · 8 citations
  2. 3LM: Bridging Arabic, STEM, and Code through Benchmarking ↗Proceedings of The Third Arabic Natural Language Processing Conference · no summary yetBasma El Amel Boussaha et al.2025 · 6 citations
  3. Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and OutcomesArabic Natural Language Processing Conference (ArabicNLP)Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.2025 · 2 citations
  4. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM EvaluationarXiv:2604.03395Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.2026

 Co-authors here

8 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); 12 citing papers with a page here →.

Updated

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