PeopleofSuperintelligence

Researcher

Hamza Alobeidli

Also known as Hamza Khamis Alobeidli

Hamza Alobeidli is an AI researcher at the Technology Innovation Institute (TII), where he works on open language models and Arabic evaluation. In 2022, he was an associate researcher at TII, planned to pursue a master’s degree at MBZUAI and participated in the NOOR Arabic NLP project. He coauthored the RefinedWeb and Falcon studies in 2023, Falcon2 in 2024, and Arabic evaluation work including AlGhafa and the Open Arabic LLM Leaderboard. In 2025, he coauthored a survey of Arabic LLM benchmarks; in 2026, he coauthored work on Falcon-H1-Arabic and QIMMA. As of October 2026, he is an Associate Researcher at TII.

Timeline

  1. 2022

    TII research and MBZUAI study

    In 2022, he is an associate researcher at TII and plans to pursue a master’s degree at MBZUAI. He also takes part in NOOR, an Arabic natural language processing project.

  2. June 2023

    RefinedWeb data for Falcon

    In June 2023, he coauthors the RefinedWeb dataset report, which releases a 600-billion-token extract and 1.3B and 7.5B language models trained on it.

  3. November 2023

    The Falcon series

    In November 2023, he coauthors The Falcon Series of Open Language Models. Its largest model, Falcon-180B, is trained on more than 3.5 trillion tokens of text.

  4. December 2023

    AlGhafa Arabic benchmark

    In December 2023, he coauthors AlGhafa, a multiple-choice evaluation benchmark for Arabic language models. The paper also introduces a suite of Arabic models, including a 14-billion-parameter model.

  5. May 2024

    Open Arabic LLM leaderboard

    In May 2024, he coauthors the Open Arabic LLM Leaderboard article. It uses AlGhafa to evaluate Arabic models on reading comprehension, sentiment analysis and question answering.

  6. July 2024

    Falcon2-11B technical report

    In July 2024, he coauthors the Falcon2-11B technical report, which introduces a foundation model trained on over five trillion tokens and a vision-to-text counterpart.

  7. October 2025

    Arabic LLM benchmark survey

    In October 2025, he coauthors a survey of more than 40 Arabic LLM evaluation benchmarks, organized around knowledge, NLP tasks, culture and dialects, and target-specific categories.

  8. As of October 2026

    Associate researcher at TII

    He is an Associate Researcher at TII. In January 2026, he coauthors Falcon-H1-Arabic, a family available in 3B, 7B and 34B versions. In April 2026, he coauthors QIMMA, a quality-assured Arabic LLM leaderboard centered on systematic benchmark validation.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Three Researchers from AI Cross-Center Unit to Pursue Higher Studies at Mohamed bin Zayed University of Artificial Intelligence tii.ae. Checked 19 October 2026.
  2. The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only arxiv.org. Checked 19 October 2026.
  3. The Falcon Series of Open Language Models arxiv.org. Checked 19 October 2026.
  4. AlGhafa Evaluation Benchmark for Arabic Language Models aclanthology.org. Checked 19 October 2026.
  5. Introducing the Open Arabic LLM Leaderboard: Empowering the Arabic Language Modeling Community tii.ae. Checked 19 October 2026.
  6. Falcon2-11B Technical Report arxiv.org. Checked 19 October 2026.
  7. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps arxiv.org. Checked 19 October 2026.
  8. Hamza Khamis Alobeidli | Technology Innovation Institute tii.ae. Checked 19 October 2026.
  9. Introducing Falcon-H1-Arabic: Pushing the Boundaries of Arabic Language AI with Hybrid Architecture huggingface.co. Checked 19 October 2026.
  10. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation arxiv.org. Checked 19 October 2026.