---
title: "Who cites Ibraheem Tuffaha"
description: "99 papers of the Elamur Research library cite the works of Ibraheem Tuffaha, found in their bibliographies; the most cited first."
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---
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# Who cites Ibraheem Tuffaha

114 citations of their works from 99 papers of our library (of the 140,884 whose bibliographies we read) · 36 with a page here, the most cited first · [← Ibraheem Tuffaha](https://md.research.elamur.ai/free/en/authors/ibraheem-tuffaha/)

1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic**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**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. [**Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models**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/)
4. [**Pre-Training BERT on Arabic Tweets: Practical Considerations**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/)
5. [**AceGPT, Localizing Large Language Models in Arabic**Huang Huang, Fei Yu, Jianqing Zhu, et al.*2024 · 127 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-acegpt-localizing-large-language-models/)
6. [**JGLUE: Japanese General Language Understanding Evaluation**Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kurihara-2022-jglue-japanese-general-language-understanding/)
7. [**Similarities between Arabic Dialects: Investigating Geographical Proximity**Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/alsudais-2021-similarities-between-arabic-dialects-investigating/)
8. [**Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/)
9. [**Masader: Metadata Sourcing for Arabic Text and Speech Data Resources**Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2022-masader-metadata-sourcing-arabic-text/)
10. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
11. [**Diacritic Recognition Performance in Arabic ASR**Hanan Aldarmaki, Ahmad Ghannam*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/aldarmaki-2023-diacritic-recognition-performance-arabic-asr/)
12. [**Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning**Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher*2021 · 20 citations*](https://md.research.elamur.ai/free/en/papers/abandah-2021-correcting-arabic-soft-spelling-mistakes/)
13. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**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/)
14. [**JABER and SABER: Junior and Senior Arabic BERt**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/)
15. [**sarcasm detection and quantification in arabic tweets**Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, et al.*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/talafha-2021-sarcasm-detection-quantification-arabic-tweets/)
16. [**Improving Arabic Diacritization by Learning to Diacritize and Translate**Brian Thompson, Ali Alshehri*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2022-improving-arabic-diacritization-learning-diacritize/)
17. [**Optimizing the Size of Subword Vocabularies in Dialect Classification**Vani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2023-optimizing-size-subword-vocabularies-dialect/)
18. [**How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study**Saeed Esmail, Kfir Bar, Nachum Dershowitz*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/)
19. [**Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches**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/)
20. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/)
21. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
22. [**Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text**Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/)
23. [**Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic**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/)
24. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology**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/)
25. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/)
26. [**Sadeed: Advancing Arabic Diacritization Through Small Language Model**Zeina Aldallal, Sara Chrouf, Khalil Hennara, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aldallal-2025-sadeed-advancing-arabic-diacritization-through/)
27. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/)
28. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)
29. [**Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization**Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/al-rfooh-2023-fine-tashkeel-finetuning-byte-level/)
30. [**Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Study**Hawau Olamide Toyin, Samar Mohamed Magdy, Hanan Aldarmaki*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/toyin-2026-are-llms-good-text-diacritizers/)
31. [**Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications**Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2025-exploring-data-parameter-efficient-strategies/)
32. [**AlcLaM: Arabic Dialectal Language Model**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/)
33. [**BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects**Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/almutairi-2026-barrac-adaptation-english-aspect-based/)
34. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
35. [**On the importance of Data Scale in Pretraining Arabic Language Models**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/)
36. [**BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification**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/)

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

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