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Masoomali Fatehkia

Masoomali Fatehkia has 2 papers in our library, in 2026, most of them on Language models & pretraining, Semitic languages; often with Enes Altinisik, Husrev Taha Sencar, Hamdy Mubarak.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 9 · 39 works · 479 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 138 times in our library · ⭐ Paper Stars ranking: #11844

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

🎓Hamad bin Khalifa UniversityDoha · Qatar2020–2026 · 12 paperscurrent🎓Princeton UniversityPrinceton · United States2014–2019 · 7 papersEducation 2014–2018 · Operations Research and Financial Engineering
🏛️Qatar Computing Research InstituteDoha · Qatar2018Employment since 2018 · Social Computing
🏛️Qatar Computing Research InstituteDoha · Qatar2018Employment since 2018

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 · 2 worksComputer Science · 2 worksSafety Research · 2 worksSocial Sciences · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksSemitic languages · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models (2026 · 5 citations)
    Most moderation filters for language models only check general harm, mostly in English, and ignore whether an answer fits local cultural norms.
  2. Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models (2026)
    Most cultural benchmarks for LLMs check what a model knows. This paper instead measures how a model behaves when it gives advice, opinions or guidance in Arabic. The authors built AraBehave, a benchmark of open-ended prompts. The prompts come mainly from user-flagged chat logs, plus tester-written seeds and expert…

 Co-authors here

3 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 138 times (of the 149,439 papers whose bibliographies we read); 111 citing papers with a page here →.

Updated

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