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Yazeed Alnumay

Yazeed Alnumay has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Semitic languages, Multilingual & cross-lingual NLP; often with Faisal Abdulrahman Mirza, M Saiful Bari, Norah A. Alzahrani.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 4 · 20 works · 77 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 198 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6410

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

🏢Saudi AramcoDhahran · Saudi Arabia2020–2024 · 7 papersEmployment since 2020 · Research Engineer, Research & Development Center🏢Saudi AramcoHouston · United States2022 · 2 papers🎓University of California San DiegoSan Diego · United States2016–2020 · 1 paperEducation 2016–2020 · B.S. Electrical Engineering, Joint Mathematics-Economics, Electrical and Computer Engineering, Economics - Double Major🎓Georgia Institute of TechnologyAtlanta · United States2021Education since 2021 · M.S. Computer Science, College of Computing

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 · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksSemitic languages · 3 worksEnglish · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ALLaM: Large Language Models for Arabic and English (2024 · 113 citations)
    The paper addresses the lack of strong Arabic LLMs. Frontier models are mostly English-centric, and Arabic pretraining data is scarce. The NCAI/SDAIA team builds ALLaM in two stages. First, they continue training Llama-2 checkpoints after expanding the tokenizer vocabulary with Arabic tokens. Then they apply what…
  2. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM (2025 · 18 citations)
    Enterprise-grade Arabic LLMs are hard to build because little digitized Arabic text exists, and English data often fails to carry over because of differences in morphology, syntax and culture.
  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.

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. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  2. When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ↗arXiv:2402.01781 · no summary yetNorah Alzahrani et al.2024 · 74 citations
  3. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations
  4. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation

 Co-authors here

10 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 198 times (of the 149,439 papers whose bibliographies we read); 112 citing papers with a page here →.

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