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Hanin Atwany

Hanin Atwany has 5 papers in our library, in 2024–2026, most of them on Semitic languages, Language models & pretraining, Multilingual & cross-lingual NLP; often with Nour Rabih, Anastasiia Demidova, Sanad Sha'ban.

5 papers in our library · 2024–2026

OpenAlex · h-index 3 · 14 works · 21 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 66 times in our library · ⭐ Paper Stars ranking: #7133

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

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2024–2025 · 4 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksSocial Sciences · 2 worksEducation · 1 workSafety Research · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 5 worksLanguage models & pretraining · 2 worksVision & language · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20261 paper20251 paper20243 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs (2025 · 37 citations)
    Arabic LLMs often reflect Western cultural assumptions, largely because their instruction data is machine-generated or translated from English.
  2. John vs. Ahmed: Debate-Induced Bias in Multilingual LLMs (2024 · 14 citations)
    This paper asks whether popular chat LLMs carry identity-related preferences that alignment hides, and whether those preferences shift with the prompt language.
  3. JEEM: Vision-Language Understanding in Four Arabic Dialects (2026 · 11 citations)
    JEEM addresses a gap in evaluating vision-language models (VLMs) for Arabic. Existing Arabic multimodal data mostly comes from translated or relabeled Western images, and it is written in MSA or covers only one dialect. The authors built a benchmark with images from Jordan, the Emirates, Egypt and Morocco, one…
  4. Arabic Train at NADI 2024 shared task: LLMs' Ability to Translate Arabic Dialects into Modern Standard Arabic (2024 · 11 citations)
    This paper describes a team entry for Subtask 3 of the NADI 2024 shared task: translating sentences from four Arabic dialects (Egyptian, Emirati, Jordanian, Palestinian) into Modern Standard Arabic (MSA). The authors compared several systems: Jais, NLLB, GPT-3.5, GPT-4 and a Google Translate round-trip baseline.
  5. OSACT 2024 Task 2: Arabic Dialect to MSA Translation (2024 · 7 citations)
    This paper describes a system for the OSACT 2024 shared task on translating Arabic dialects into Modern Standard Arabic (MSA).

 Co-authors here

12 of 25 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 66 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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