Ehsaneddin Asgari
Ehsaneddin Asgari has 4 papers in our library, in 2025–2026, most of them on Semitic languages, Evaluation & benchmarks, Vision & language; often with Ahlam Bashiti, Alaa Aljabari, Bilal Shalash.
OpenAlex · ORCID · Wikidata · h-index 17 · 129 works · 2,215 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 146 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8784
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workEducation · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 3 worksVision & language · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- ImageEval 2025: The First Arabic Image Captioning Shared Task (2025 · 13 citations)
ImageEval 2025 is the first shared task built around generating Arabic captions for images. Arabic multimodal work has been held back by a lack of native caption data, and most existing sets are translated from English, which loses cultural detail. The organizers addressed this with two linked subtasks. The first was… - Fanar 2.0: Arabic Generative AI Stack (2026 · 11 citations)
Fanar 2.0 is QCRI's second-generation Arabic-centric generative AI platform. It is built and run entirely in-house, with no external AI providers, on a modest budget of 256 H100 GPUs. Arabic is also scarce online, at roughly 0.5% of web text. Instead of scaling up, the team chose careful curation. They continued… - HarfoSokhan: A Comprehensive Parallel Dataset for Transitions between Persian Colloquial and Formal Variations (2026)
Persian has a formal written register and a colloquial one ("Shekaste-nevisi"). The two differ in vocabulary, morphology and syntax. Models built for standard Persian lose accuracy on informal social-media text, and no public large-scale parallel corpus linked the two registers. The authors address this with… - QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge (2026)
QuranicMMLU is a benchmark that tests how well generative models handle the language of the Quran. Earlier Quranic and Islamic benchmarks mostly measure factual QA or retrieval, are usually multiple-choice only, and ignore cognitive difficulty.
All works
- ImageEval 2025: The First Arabic Image Captioning Shared TaskArabic Natural Language Processing Conference (ArabicNLP)Ahlam Bashiti, Alaa Aljabari, Hadi Hamoud, et al.2025 · 13 citations
- Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
- PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation ↗Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025) · no summary yetFarhan Farsi et al.2025 · 2 citations
- HarfoSokhan: A Comprehensive Parallel Dataset for Transitions between Persian Colloquial and Formal VariationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hamid Jahad Sarvestani, Vida Ramezanian, Saee Saadat, et al.2026
- QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic KnowledgearXiv:2609.22038 · Arabic NLP 2026Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari2026
Co-authors here
- Ahlam Bashiti
- Alaa Aljabari
- Bilal Shalash
- Enes Altinisik
- Fadi Zaraket
- Fahim Dalvi
- George Mikros
- Hadi Hamoud
- Kareem Darwish
- Md. Rafiul Biswas
- Mohammad Shahmeer Ahmad
- Mustafa Jarrar
Venues
- Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2025
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)
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