🧑‍🔬 Ahmed Ashraf

🏛️ Affiliations

🎓University of CincinnatiCincinnati · United States2023–2026 · 13 paperscurrent🎓Tanta UniversityTanta · Egypt2026 · 8 paperscurrent🎓Alexandria UniversityAlexandria · Egypt2026 · 2 paperscurrent🎓Delta University for Science and TechnologyAl Mansurah · Egypt2013–2026 · 1 paperEmployment since 2013 · Lecturer, Prosthodontics Department, Faculty of Oral and Dental Medicine.current🏥University of Cincinnati Medical CenterCincinnati · United States2026 · 1 papercurrent🎓University of Sadat CitySadat · Egypt2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. CIDAR: Culturally Relevant Instruction Dataset For Arabic (2024 · 30 citations)
   Most Arabic instruction-tuning data is machine-translated from English or generated by English-centric LLMs, and it is rarely checked by people.
2. AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic (2025 · 26 citations)
   Most safety and trustworthiness benchmarks for LLMs are built in English or Chinese, or are machine-translated.
3. AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP (2025 · 8 citations)
   AraReasoner asks how well recent reasoning-oriented LLMs handle Arabic. Arabic is hard for models because of its rich morphology, many dialects, and non-Latin script, and earlier Arabic benchmarks mostly covered BERT-style encoders or only a few closed GPT models. The authors assembled fifteen public Arabic datasets…
4. Bulbul: A Dataset for Dialectal Arabic Speech Recognition (2026 · 1 citation)
   Arabic speech recognition struggles because speech resources are scarce and skewed toward a few varieties: MSA, Egyptian, broad Levantine, Gulf and Moroccan.
5. Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection (2026 · 1 citation)
   Arabic has few public resources for checking whether a stance classifier still works when the discussion topic changes.
6. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset Curation (2026 · 1 citation)
   Building prompts for large language models at scale is hard to coordinate. Teams often share templates informally, quality checks are inconsistent, and earlier tools such as PromptSource require local installation and collaboration through GitHub pull requests, which shuts out domain experts without programming…
7. NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task (2026)
   NADI 2026 is the seventh round of the NADI series and the second focused on spoken dialectal Arabic. It targets a mismatch: benchmarks tend to use clean, in-domain recordings of a few varieties, while real systems face poor audio, speakers whose variety is not known, mid-utterance language switching and unfamiliar…

🤝 Co-authors here

12 of 31 co-authors with a page, the most papers together first.

• Hamzah Luqman ×4
• Maged S. Al-shaibani ×3
• Saad Ezzini ×3
• AbdelRahim Elmadany ×2
• Aisha Alansari ×2
• Dania Refai ×2
• Deema Alnuhait ×2
• Zaid Alyafeai ×2
• Asma Yamani
• Bashar Talafha
• Chiyu Zhang
• Emad A. Alghamdi

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 2025, Findings of the Association for Computational Linguistics 2024
• International Conference on Computational Linguistics (COLING): COLING 2025
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026

🔗 Cited by

Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated 31 October 2026

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