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Giulia Campesan

Giulia Campesan has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Semitic languages; often with Mugariya Farooq, Badreddine Noune, Daniele Mazzotta.

2 papers in our library · 2023–2025

OpenAlex · h-index 2 · 5 works · 11 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 58 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7530

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 Emirates2023–2025 · 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksEducation · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 workSemitic languages · 1 work

 Works by year

2020s

20251 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. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance (2025 · 15 citations)
    Falcon-H1, from TII's Falcon LLM Team, is a family of open-weight LLMs that aims to get top-tier quality at much lower compute and memory cost.

All works

3 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. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  2. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  3. 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

 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 58 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated

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