---
title: "Who cites Hussein Al-Natsheh — 71 papers of our library"
description: "71 papers of the Elamur Research library cite the works of Hussein Al-Natsheh, found in their bibliographies; the most cited first."
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---
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# Who cites Hussein Al-Natsheh

82 citations of their works from 71 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · [← Hussein Al-Natsheh](https://md.research.elamur.ai/free/en/authors/hussein-al-natsheh/)

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. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models arXiv:2103.06678**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
3. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations*
4. [**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 · 218 citations*](https://md.research.elamur.ai/free/en/papers/sengupta-2023-jais-jais-chat-arabic-centric/)
5. [**Pre-Training BERT on Arabic Tweets: Practical Considerations arXiv:2102.10684**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/)
6. **[AceGPT, Localizing Large Language Models in Arabic](https://md.research.elamur.ai/free/en/papers/huang-2024-acegpt-localizing-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Huang Huang, Fei Yu, Jianqing Zhu, et al.*2024 · 127 citations*
7. **[NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2020-nadi-2020-first-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, et al.*2020 · 102 citations*
8. **[JGLUE: Japanese General Language Understanding Evaluation](https://md.research.elamur.ai/free/en/papers/kurihara-2022-jglue-japanese-general-language-understanding/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata*2022 · 90 citations*
9. **[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*
10. **[Multi-dialect Arabic BERT for Country-level Dialect Identification](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter, et al.*2020 · 77 citations*
11. **[AlGhafa Evaluation Benchmark for Arabic Language Models](https://md.research.elamur.ai/free/en/papers/almazrouei-2023-alghafa-evaluation-benchmark-arabic-language/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.*2023 · 46 citations*
12. **[Similarities between Arabic Dialects: Investigating Geographical Proximity](https://md.research.elamur.ai/free/en/papers/alsudais-2021-similarities-between-arabic-dialects-investigating/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary*2021 · 42 citations*
13. **[Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs](https://md.research.elamur.ai/free/en/papers/alwajih-2025-palm-culturally-inclusive-linguistically-diverse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy, et al.*2025 · 37 citations*
14. **[Compositional Evaluation on Japanese Textual Entailment and Similarity](https://md.research.elamur.ai/free/en/papers/yanaka-2022-compositional-evaluation-japanese-textual-entailment/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hitomi Yanaka, Koji Mineshima*2022 · 33 citations*
15. **[Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdellah El Mekki, Ahmed Alami, Hamza Alami, et al.*2020 · 32 citations*
16. **[Masader: Metadata Sourcing for Arabic Text and Speech Data Resources](https://md.research.elamur.ai/free/en/papers/alyafeai-2022-masader-metadata-sourcing-arabic-text/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb, et al.*2022 · 29 citations*
17. **[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*
18. **[AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic](https://md.research.elamur.ai/free/en/papers/alghamdi-2025-aratrust-evaluation-trustworthiness-llms-arabic/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Emad A. Alghamdi, Reem I. Masoud, Deema Alnuhait, et al.*2025 · 26 citations*
19. **[BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.*2021 · 26 citations*
20. **[A Survey of Large Language Models for Arabic Language and its Dialects](https://md.research.elamur.ai/free/en/papers/mashaabi-2024-survey-large-language-models-arabic/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Malak Mashaabi, Shahad Al-Khalifa, Hend Al-Khalifa*2024 · 24 citations*
21. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
22. **[Arabic Dataset for LLM Safeguard Evaluation](https://md.research.elamur.ai/free/en/papers/ashraf-2025-arabic-dataset-llm-safeguard-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yasser Ashraf, Yuxia Wang, Bin Gu, et al.*2025 · 22 citations*
23. **[AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-aramus-pushing-limits-data-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaad Alghamdi, Xinyu Duan, Wei Jiang, et al.*2023 · 21 citations*
24. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model arXiv:2606.25495 · Mathematical Modelling of Engineering Problems, Vol. 9, No. 6, pp. 1574-1582 (2022)**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
25. **[Improving Arabic Text Categorization Using Transformer Training Diversification](https://md.research.elamur.ai/free/en/papers/chowdhury-2020-improving-arabic-text-categorization-transformer/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shammur Absar Chowdhury, Ahmed Abdelali, Kareem Darwish, et al.*2020 · 17 citations*
26. [**JABER and SABER: Junior and Senior Arabic BERt arXiv:2112.04329**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
27. **[LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier](https://md.research.elamur.ai/free/en/papers/touileb-2020-ltg-st-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Samia Touileb*2020 · 15 citations*
28. **[sarcasm detection and quantification in arabic tweets](https://md.research.elamur.ai/free/en/papers/talafha-2021-sarcasm-detection-quantification-arabic-tweets/) [Proceedings - International Conference on Tools with Artificial Intelligence, TAI](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/)**Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, et al.*2021 · 14 citations*
29. **[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*
30. **[Optimizing the Size of Subword Vocabularies in Dialect Classification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2023-optimizing-size-subword-vocabularies-dialect/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Vani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.*2023 · 11 citations*
31. **[Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem AlYami, Rabah Al-Zaidy*2022 · 11 citations*
32. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
33. **[Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect](https://md.research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Emna Fsih, Sameh Kchaou, Rahma Boujelbane, et al.*2022 · 9 citations*
34. **[Faheem at NADI shared task: Identifying the dialect of Arabic tweet](https://md.research.elamur.ai/free/en/papers/alshenaifi-2020-faheem-nadi-shared-task-identifying/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Nouf AlShenaifi, Aqil Azmi*2020 · 9 citations*
35. **[Simple vs Oversampling-based Classification Methods for Fine Grained Arabic Dialect Identification in Twitter](https://md.research.elamur.ai/free/en/papers/lichouri-2020-simple-vs-oversampling-based-classification/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Lichouri, Mourad Abbas*2020 · 9 citations*
36. **[Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus](https://md.research.elamur.ai/free/en/papers/olsen-2023-arabic-dialect-identification-depth-error/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Helene Olsen, Samia Touileb, Erik Velldal*2023 · 8 citations*
37. **[Optimizing Naive Bayes for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/jauhiainen-2022-optimizing-naive-bayes-arabic-dialect/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén*2022 · 8 citations*
38. **[Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features](https://md.research.elamur.ai/free/en/papers/lichouri-2021-arabic-dialect-identification-based-weighted/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Lichouri, Mourad Abbas, Khaled Lounnas, et al.*2021 · 8 citations*
39. **[AraSafe: Benchmarking Safety in Arabic LLMs](https://md.research.elamur.ai/free/en/papers/mubarak-2025-arasafe-benchmarking-safety-arabic-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hamdy Mubarak, Abubakr Mohamed, Majd Hawasly*2025 · 6 citations*
40. **[Revisiting Common Assumptions about Arabic Dialects in NLP](https://md.research.elamur.ai/free/en/papers/keleg-2025-revisiting-common-assumptions-about-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2025 · 6 citations*
41. [**Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic arXiv:2211.03966**Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, et al.*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/sarkar-2022-parameter-data-efficient-continual-pre/)
42. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology arXiv:2506.01340**Shahad Al-Khalifa; Nadir Durrani; Hend Al-Khalifa;, Firoj Alam*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/al-khalifa-2025-landscape-arabic-large-language-models/)
43. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/)
44. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data arXiv:2507.18442**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)
45. **[Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text](https://md.research.elamur.ai/free/en/papers/laith-2025-evaluating-calibration-arabic-pre-trained/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Ali Al-Laith, Rachida Kebdani*2025 · 2 citations*
46. **[ELYADATA at NADI 2024 shared task: Arabic Dialect Identification with Similarity-Induced Mono-to-Multi Label Transformation.](https://md.research.elamur.ai/free/en/papers/karoui-2024-elyadata-nadi-2024-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Amira Karoui, Farah Gharbi, Rami Kammoun, et al.*2024 · 2 citations*
47. **[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*
48. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2022 · 2 citations*
49. [**Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications arXiv:2509.13775**Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2025-exploring-data-parameter-efficient-strategies/)
50. **[Fine-tuning AraBert model for arabic sentiment detection](https://md.research.elamur.ai/free/en/papers/jaballah-2025-fine-tuning-arabert-model-arabic/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Mustapha Jaballah, Dhaou Ghoul, Ammar Mars*2025 · 1 citation*
51. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
52. **[NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2022-nlp-di-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2022 · 1 citation*
53. [**AraSSM: A bidirectional state-space encoder for Arabic masked language modeling arXiv:2608.08256**Ahmed Amine Aliane, Hassina Aliane, Nasredine Semmar*2026*](https://md.research.elamur.ai/free/en/papers/aliane-2026-arassm-bidirectional-state-space-encoder/)
54. [**BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects arXiv:2609.38820**Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/almutairi-2026-barrac-adaptation-english-aspect-based/)
55. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding arXiv:2609.33530**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
56. **[A Hybrid Transformer-Based Model for Sentiment Analysis of Arabic Dialect Hotel Reviews](https://md.research.elamur.ai/free/en/papers/alfugaha-2025-hybrid-transformer-based-model-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Rawand Alfugaha, Mohammad AL-Smadi*2025*
57. [**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/)
58. **[On Enhancing Fine-Tuning for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/betka-2023-enhancing-fine-tuning-pre-trained/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abir Betka, Zeyd Ferhat, Riyadh Barka, et al.*2023*
59. [**BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification arXiv:2106.12495**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.*2021*](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model-country/)

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