🔗 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»

1. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
2. AraT5: Text-to-Text Transformers for Arabic Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 201 citations
3. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPConference on Empirical Methods in Natural Language Processing (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 ModelsNeural Computing and ApplicationsAli Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.2022 · 90 citations
5. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
6. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (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 GenerationArabic Natural Language Processing Conference (ArabicNLP)AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 29 citations
8. 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
9. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (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 BenchmarksFindings of the Association for Computational LinguisticsGagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.2025 · 13 citations
11. ArCovidVac: Analyzing Arabic Tweets About COVID-19 VaccinationLanguage Resources and Evaluation Conference (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 UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
13. The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the BaselineArabic Natural Language Processing Conference (ArabicNLP)Yves Scherrer, Aleksandra Miletić, Olli Kuparinen2023 · 6 citations
14. USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect IdentificationArabic Natural Language Processing Conference (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 ConcatenationArabic Natural Language Processing Conference (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 DetectionWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksAli Mostafa, Omar Mohamed, Ali Ashraf2022 · 2 citations
17. On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced DatasetsArabic Natural Language Processing Workshop (WANLP)Salma Jamal, Aly M. Kassem, Omar Mohamed, et al.2022 · 2 citations
18. DIA2 - a Comprehensive and Diverse Diacritized Arabic Corpus for NLP ResearchWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksFatima Dekmak, Shady Elbassuoni, Khaled Shaban, et al.2026
19. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024

4 more papers of our library cite it; they have no page here yet.

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