--- title: "Who cites AraGPT2: Pre-Trained — 64 citing papers" description: "64 papers of the Elamur Research library cite «AraGPT2: Pre-Trained Transformer for Arabic Language Generation», found in their…" canonical: "https://research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AraGPT2: Pre-Trained Transformer for Arabic…](https://md.research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/) / cited by # Who cites «AraGPT2: Pre-Trained Transformer for Arabic Language Generation» 64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «AraGPT2: Pre-Trained Transformer for Arabic Language Generation»](https://md.research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/) 1. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tarek Naous, Michael J. Ryan, Alan Ritter, et al.*2023 · 268 citations* 2. [**Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models arXiv:2308.16149**Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.*2023 · 217 citations*](https://md.research.elamur.ai/free/en/papers/sengupta-2023-jais-jais-chat-arabic-centric/) 3. **[ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fajri Koto, Haonan Li, Sara Shatnawi, et al.*2024 · 116 citations* 4. [**ALLaM: Large Language Models for Arabic and English arXiv:2407.15390**M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/bari-2024-allam-large-language-models-arabic/) 5. **[NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2022-nadi-2022-third-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.*2022 · 106 citations* 6. **[Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification](https://md.research.elamur.ai/free/en/papers/refai-2022-data-augmentation-using-transformers-similarity/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman*2022 · 35 citations* 7. [**Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques arXiv:2309.00246**Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/) 8. **[A Large and Diverse Arabic Corpus for Language Modeling](https://md.research.elamur.ai/free/en/papers/ali-2022-large-diverse-arabic-corpus-language/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Abbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.*2022 · 16 citations* 9. [**SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora arXiv:2405.06239**Faisal Qarah*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/) 10. [**AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis arXiv:2403.12392**Faisal Qarah*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-arapoembert-pretrained-language-model-arabic/) 11. [**Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system arXiv:2407.11212**Rayed Ghazawi, Edwin Simpson*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/ghazawi-2024-automated-essay-scoring-arabic-dataset/) 12. [**EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora arXiv:2408.03524**Faisal Qarah*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-egybert-large-language-model-pretrained/) 13. [**Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches arXiv:2307.06218**Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-ashaar-automatic-analysis-generation-arabic/) 14. [**Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic arXiv:2412.04277**Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-arabic-stable-lm-adapting-stable/) 15. [**Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages arXiv:2303.09823 · Revue de l Information Scientifique et Technique, vol. 27, no. 2, pp. 7-12, November 2023**Angel Felipe Magnossao de Paula, Imene Bensalem, Paolo Rosso, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/paula-2023-transformers-ensemble-methods-solution-hate/) 16. **[Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure](https://md.research.elamur.ai/free/en/papers/arps-2024-multilingual-nonce-dependency-treebanks-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Arps, Laura Kallmeyer, Younes Samih, et al.*2024 · 4 citations* 17. [**Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts arXiv:2309.12863**Emad A. Alghamdi, Jezia Zakraoui, Fares A. Abanmy*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-domain-adaptation-arabic-machine-translation/) 18. [**Machine learning and emoji prediction: How much accuracy can MARBERT achieve? arXiv:2604.21108**Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. Alshawsh*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-learning-emoji-prediction-much/) 46 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/) — AraGPT2: Pre-Trained Transformer for Arabic Language Generation