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Aisha Alraeesi

Aisha Alraeesi has 2 papers in our library, in 2024, most of them on Semitic languages, Speech & spoken language; often with Abdelrahman Sadallah, Ahmed Oumar El-Shangiti, Bashar Talafha.

2 papers in our library · 2024

OpenAlex · h-index 2 · 6 works · 29 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 171 times in our library · ⭐ Paper Stars ranking: #6053

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 · 5 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 2 worksSpeech & spoken language · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic (2024 · 117 citations)
    Arabic-capable LLMs are usually tested for knowledge and reasoning on MMLU translated from English. Translation can introduce errors and leaves out content rooted in the Arab world. To fill this gap, the authors built ArabicMMLU, the first MMLU-style benchmark written natively in Modern Standard Arabic (MSA). They…
  2. Casablanca: Data and Models for Multidialectal Arabic Speech Recognition (2024 · 45 citations)
    Arabic speech recognition still lacks reliable, manually labeled data for regional varieties. Most large Arabic corpora are dominated by MSA or were transcribed with light supervision. Casablanca addresses this with a community-built corpus of about 48 hours of speech from YouTube TV-series episodes. Its eight…

 Co-authors here

12 of 16 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 171 times (of the 149,439 papers whose bibliographies we read); 107 citing papers with a page here →.

Updated

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