--- title: "Who cites Machine Generation and — 23 citing papers" description: "23 papers of the Elamur Research library cite «Machine Generation and Detection of Arabic Manipulated and Fake News», found in their…" canonical: "https://research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Machine Generation and Detection of Arabic…](https://md.research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/) / cited by # Who cites «Machine Generation and Detection of Arabic Manipulated and Fake News» 23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← back to «Machine Generation and Detection of Arabic Manipulated and Fake News»](https://md.research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/) 1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/) 2. **[AraT5: Text-to-Text Transformers for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations* 3. **[GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP](https://md.research.elamur.ai/free/en/papers/khondaker-2023-gptaraeval-comprehensive-evaluation-chatgpt-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.*2023 · 110 citations* 4. **[Arabic Fake News Detection Based on Deep Contextualized Embedding Models](https://md.research.elamur.ai/free/en/papers/nassif-2022-arabic-fake-news-detection-based/) [Neural Computing and Applications](https://md.research.elamur.ai/free/en/venues/neural-computing-and-applications/)**Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.*2022 · 90 citations* 5. **[ORCA: A Challenging Benchmark for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/elmadany-2023-orca-challenging-benchmark-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**AbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 83 citations* 6. **[JASMINE: Arabic GPT Models for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-jasmine-arabic-gpt-models-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.*2023 · 38 citations* 7. **[Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/elmadany-2023-octopus-multitask-model-toolkit-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 29 citations* 8. **[Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/alwajih-2024-peacock-family-arabic-multimodal-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, et al.*2024 · 28 citations* 9. **[Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 27 citations* 10. **[Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/bhatia-2025-swan-arabicmteb-dialect-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.*2025 · 13 citations* 11. **[ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination](https://md.research.elamur.ai/free/en/papers/mubarak-2022-arcovidvac-analyzing-arabic-tweets-about/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, et al.*2022 · 13 citations* 12. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/) 13. **[The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline](https://md.research.elamur.ai/free/en/papers/scherrer-2023-helsinki-nlp-submissions-nadi-2023/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yves Scherrer, Aleksandra Miletić, Olli Kuparinen*2023 · 6 citations* 14. **[USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/lichouri-2023-usthb-nadi-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Lichouri, Khaled Lounnas, Aicha Zitouni, et al.*2023 · 4 citations* 15. **[USTHB at ArAIEval'23 Shared Task: Disinformation Detection System based on Linguistic Feature Concatenation](https://md.research.elamur.ai/free/en/papers/lichouri-2023-usthb-araieval-23-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Lichouri, Khaled Lounnas, Aicha Zitouni, et al.*2023 · 3 citations* 16. **[GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed, Ali Ashraf*2022 · 2 citations* 17. **[On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets](https://md.research.elamur.ai/free/en/papers/jamal-2022-arabic-dialects-identification-overcoming-challenges/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salma Jamal, Aly M. Kassem, Omar Mohamed, et al.*2022 · 2 citations* 18. **[DIA2 - a Comprehensive and Diverse Diacritized Arabic Corpus for NLP Research](https://md.research.elamur.ai/free/en/papers/dekmak-2026-dia2-comprehensive-diverse-diacritized-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Fatima Dekmak, Shady Elbassuoni, Khaled Shaban, et al.*2026* 19. [**On the importance of Data Scale in Pretraining Arabic Language Models arXiv:2401.07760**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/) 4 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/) — Machine Generation and Detection of Arabic Manipulated and Fake News