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Sanad Sha'ban

Sanad Sha'ban has 3 papers in our library, in 2024–2025, most of them on Semitic languages, Language models & pretraining, Multilingual & cross-lingual NLP; often with Anastasiia Demidova, Hanin Atwany, Nour Rabih.

3 papers in our library · 2024–2025

OpenAlex · h-index 2 · 6 works · 10 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #8618

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 · 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 3 worksLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.
  3. The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness (2025 · 2 citations)
    Arabic dialect NLP usually assigns texts discrete dialect labels. Newer work such as ALDi treats dialectness as a continuous value, but that value only measures how far text drifts from MSA. The authors add a second, complementary axis: the Arabic Generality Score (AGS). It rates, on a 0–1 scale, how widely a word is…

 Co-authors here

5 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 17 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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