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Ahmed Sharshar

Ahmed Sharshar has 2 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Evaluation & benchmarks, Bias, fairness & safety; often with Yuxia Wang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 5 · 31 works · 104 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12829

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 Emirates2023–2026 · 16 paperscurrent🎓Egypt-Japan University of Science and TechnologyAlexandria · Egypt2021–2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksMultilingual & cross-lingual NLP · 2 worksBias, fairness & safety · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks (2025 · 1 citation)
    The paper asks how well current open LLMs handle languages with fewer resources, and what happens to that ability when the models are compressed.
  2. Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor (2026)
    The paper argues that detecting harmful humor is a safety problem that existing toxicity benchmarks cover poorly.

 Co-authors here

1 co-author with a page, the most papers together first.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

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