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Chaimae Abouzahir

Chaimae Abouzahir has 2 papers in our library, in 2025–2026, most of them on Semitic languages, English; often with Farah E. Shamout, Nizar Habash, Walid Al-Eisawi.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 9 works · 7 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 27 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5678

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

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2025–2026 · 7 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMedicine · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 2 worksEnglish · 1 work

 Works by year

2020s

20261 paperBridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection20251 paperMedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks

 Papers

The most cited first (OpenAlex and our library).

  1. MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks (2025 · 22 citations)
    LLMs are increasingly considered for clinical use, but there has been almost no way to check how they handle medical content in Arabic.
  2. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection (2026)
    LLMs handle English medical questions much better than Arabic ones, and this is usually blamed on scarce Arabic 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. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksarXiv:2505.03427Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  2. AraHealthQA 2025: The First Shared Task on Arabic Health Question AnsweringProceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks · original ↗ · no summary yetHassan Alhuzali et al.2025 · 8 citations
  3. Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical TasksProceedings of the 1st Workshop on Linguistic Analysis for Health (HeaLing 2026) · original ↗ · no summary yetChaimae Abouzahir et al.2026 · 1 citation
  4. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer SelectionarXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.2026

 Co-authors here

7 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 27 times (of the 141,840 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chaimae-abouzahir/