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Osama Mohammed Afzal

Osama Mohammed Afzal has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Semitic languages; often with Bokang Jia, Fajri Koto, Gurpreet Gosal.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 7 · 21 works · 188 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 319 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5469

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

🎓Technische Universität DarmstadtDarmstadt · Germany2026 · 2 paperscurrent🔬Hessian Center for Artificial IntelligenceDarmstadt · Germany2026 · 1 papercurrent🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2023–2024 · 6 papers🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2024 · 2 papers

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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSemitic languages · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models (2023 · 218 citations)
    Open large language models have mostly been built for English, so their Arabic skills and knowledge of the Arabic-speaking world are weak. Arabic text is also scarce compared with English. The authors address this with Jais, a 13B-parameter GPT-3-style decoder-only model, and Jais-chat, its instruction-tuned version.
  2. Exploring the Limitations of Detecting Machine-Generated Text (2025 · 7 citations)
    Detectors of machine-generated text (MGT) often report strong accuracy, but they are usually tested on data resembling their training data.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
  2. M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection ↗arXiv:2305.14902 · no summary yetYuxia Wang et al.2023 · 107 citations
  3. What Can Natural Language Processing Do for Peer Review? ↗arXiv:2405.06563 · no summary yetIlia Kuznetsov et al.2024 · 33 citations
  4. Exploring the Limitations of Detecting Machine-Generated TextInternational Conference on Computational Linguistics (COLING)Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, et al.2025 · 7 citations

 Co-authors here

12 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 319 times (of the 149,439 papers whose bibliographies we read); 174 citing papers with a page here →.

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