🧑‍🔬 Fakhraddin Alwajih

🏛️ Affiliations

🎓University of British ColumbiaVancouver · Canada2023–2025 · 16 papers🎓Cairo UniversityGiza · Egypt2012–2022 · 4 papers🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2023–2025 · 3 papers🎓Ibb UniversityIbb · Yemen2021–2022 · 3 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs (2025 · 37 citations)
   Arabic LLMs often reflect Western cultural assumptions, largely because their instruction data is machine-generated or translated from English.
2. Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks (2024 · 28 citations)
   Multimodal LLMs that reason over images work well mainly in English, because other languages lack good image–text resources.
3. Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic (2024 · 25 citations)
   Multimodal LLMs that can discuss images are mostly built for English. Arabic has few image-text resources, and Arabic's regional dialects have almost none. Dallah addresses this gap. It joins the LLaVA framework with AraLLaMA, a LLaMA-2-based model that handles both Arabic and English.
4. PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture (2025 · 23 citations)
   Large language models learn mostly from web data, which leans toward Western, high-resource cultures. As a result, they understand Arab and Islamic customs, history and religious practice poorly, and there was no common yardstick to measure this. PalmX 2025 is a shared task built to fill that gap. It is divided into…
5. Qalam: A Multimodal LLM for Arabic Optical Character and Handwriting Recognition (2024 · 20 citations)
   Arabic text is hard for OCR and handwriting recognition (HWR). The script is cursive, letters change shape with position, and diacritics, dots, ligatures and overlaps all have to be read. Fonts and personal hands vary widely, and annotated data is limited. The authors present Qalam, a vision encoder-decoder…
6. JAWAHER: A Multidialectal Dataset of Arabic Proverbs for LLM Benchmarking (2025 · 18 citations)
   Many LLMs still lean toward Anglo-American culture and handle English better than other languages. This makes culturally loaded figurative language, such as proverbs, especially hard for them. The authors present Jawaher, a manually curated benchmark of Arabic proverbs from 20 Arabic varieties spread across the Arab…
7. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder (2023 · 18 citations)
   Arabic image captioning lags far behind English because native captioned images are scarce and strong Arabic generators have rarely been connected to vision models.
8. Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks (2025 · 13 citations)
   Most text embedding models are built mainly for English and Chinese. They handle Arabic poorly because the language combines rich morphology, many dialects, and culture-specific content. The authors address this with Swan, a pair of Arabic-focused embedding models. Swan-Small is built on ARBERTv2, and Swan-Large is…
9. Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset (2025 · 11 citations)
   Large vision-language models (LVLMs) tend to reflect Western viewpoints. Existing cultural VQA resources often rely on translated material, cover few images or topics, ask shallow factual questions, and treat a culture as uniform. The authors built Pearl to address these gaps. It is a large Arabic multimodal…
10. Arabic Automatic Story Generation with Large Language Models (2024 · 9 citations)
    Arabic has lagged behind English in LLM-based story generation, mostly because short Arabic story data is scarce.

All works

12 works of theirs in our library, the most cited first; 10 with a page here, the others link their original until we summarise them.

1. Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy, et al.2025 · 37 citations
2. Peacock: A Family of Arabic Multimodal Large Language Models and BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, et al.2024 · 28 citations
3. Dallah: A Dialect-Aware Multimodal Large Language Model for ArabicArabic Natural Language Processing Conference (ArabicNLP)Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed2024 · 25 citations
4. PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic CultureArabic Natural Language Processing Conference (ArabicNLP)Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak, et al.2025 · 23 citations
5. Qalam: A Multimodal LLM for Arabic Optical Character and Handwriting RecognitionArabic Natural Language Processing Conference (ArabicNLP)Gagan Bhatia, El Moatez Billah Nagoudi, Fakhraddin Alwajih, et al.2024 · 20 citations
6. JAWAHER: A Multidialectal Dataset of Arabic Proverbs for LLM BenchmarkingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samar Mohamed Magdy, Sang Yun Kwon, Fakhraddin Alwajih, et al.2025 · 18 citations
7. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini DecoderArabic Natural Language Processing Conference (ArabicNLP)Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi, et al.2023 · 18 citations
8. Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and BenchmarksFindings of the Association for Computational LinguisticsGagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.2025 · 13 citations
9. Pearl: A Multimodal Culturally-Aware Arabic Instruction DatasetFindings of the Association for Computational LinguisticsFakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, et al.2025 · 11 citations
10. Arabic Automatic Story Generation with Large Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ahmed Oumar El-Shangiti, Fakhraddin Alwajih, Muhammad Abdul-Mageed2024 · 9 citations
11. Gazelle: An Instruction Dataset for Arabic Writing Assistance ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetSamar Mohamed Magdy et al.2024 · 7 citations
12. LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetSamar M. Magdy et al.2026 · 5 citations

🤝 Co-authors here

12 of 27 co-authors with a page, the most papers together first.

• Muhammad Abdul-Mageed ×8
• El Moatez Billah Nagoudi ×5
• Abdellah El Mekki ×4
• Gagan Bhatia ×4
• Samar M. Magdy ×3
• Abdelrahman Mohamed ×2
• Abdulfattah Mohammed Yahya ×2
• Omer Nacar ×2
• Safaa Taher Abdelfadil ×2
• Youssef Nafea ×2
• AbdelRahim Elmadany
• Abubakr Mohamed

Venues

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

• Arabic Natural Language Processing Conference (ArabicNLP) ×5: ArabicNLP 2025, ArabicNLP 2024 ×3, ArabicNLP 2023
• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2025, ACL 2024
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2025 ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP)
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
• Findings of the Association for Computational Linguistics: ACL 2026
• Findings of the Association for Computational Linguistics: EMNLP 2024

🔗 Cited by

Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); 114 citing papers with a page here →.

Updated 31 October 2026

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