---
title: "Who cites Azadeh Hashemi — 26 papers of our library"
description: "26 papers of the Elamur Research library cite the works of Azadeh Hashemi, found in their bibliographies; the most cited first."
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---
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# Who cites Azadeh Hashemi

28 citations of their works from 26 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← Azadeh Hashemi](https://md.research.elamur.ai/free/en/authors/azadeh-hashemi/)

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. **[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*
3. **[Overview of OSACT4 Arabic Offensive Language Detection Shared Task](https://md.research.elamur.ai/free/en/papers/mubarak-2020-overview-osact4-arabic-offensive-language/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Hamdy Mubarak, Kareem Darwish, Walid Magdy, et al.*2020 · 109 citations*
4. **[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*
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. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations*
7. **[Understanding and Detecting Dangerous Speech in Social Media](https://md.research.elamur.ai/free/en/papers/alshehri-2020-understanding-detecting-dangerous-speech-social/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Alshehri, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed*2020 · 31 citations*
8. **[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*
9. **[Leveraging Affective Bidirectional Transformers for Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/elmadany-2020-leveraging-affective-bidirectional-transformers-offensive/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**AbdelRahim Elmadany, Chiyu Zhang, Muhammad Abdul-Mageed, et al.*2020 · 26 citations*
10. **[Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan*2021 · 25 citations*
11. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations*
12. **[TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-turjuman-public-toolkit-neural-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 21 citations*
13. **[Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations*
14. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
15. [**Ensemble of pre-trained language models and data augmentation for hate speech detection from Arabic tweets arXiv:2407.02448**Kheir Eddine Daouadi, Yaakoub Boualleg, Kheir Eddine Haouaouchi*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/daouadi-2024-ensemble-pre-trained-language-models/)
16. **[Multi-task Learning with Active Learning for Arabic Offensive Speech Detection](https://md.research.elamur.ai/free/en/papers/alansari-2025-multi-task-learning-active-learning/) [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/)**Aisha Alansari, Hamzah Luqman*2025 · 2 citations*
17. **[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*
18. [**Fine-Grained Arabic Offensive Language Classification with Taxonomy, Sentiment, and Emotions Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models**Natalia Vanetik, Marina Litvak, Chaya Liebeskind*2025*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-fine-grained-arabic-offensive-language/)
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/)

7 more citing papers of our library have no page here yet.

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