---
title: "Who cites Bashar Talafha"
description: "155 papers of the Elamur Research library cite the works of Bashar Talafha, found in their bibliographies; the most cited first."
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---
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# Who cites Bashar Talafha

204 citations of their works from 155 papers of our library (of the 140,884 whose bibliographies we read) · 44 with a page here, the most cited first · [← Bashar Talafha](https://md.research.elamur.ai/free/en/authors/bashar-talafha/)

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. [**The MADAR Shared Task on Arabic Fine-Grained Dialect Identification**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 218 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/)
4. [**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/)
5. [**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/)
6. [**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/)
7. [**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/)
8. [**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/)
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. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
11. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2026 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
12. [**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/)
13. [**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/)
14. [**ADI-20: Arabic Dialect Identification dataset and models**Haroun Elleuch, Salima Mdhaffar, Yannick Esteve, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/elleuch-2025-adi-20-arabic-dialect-identification/)
15. [**Open Universal Arabic ASR Leaderboard**Yingzhi Wang, Anas Alhmoud, Muhammad Alqurishi*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-open-universal-arabic-asr-leaderboard/)
16. [**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/)
17. [**Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification**Badr M. Abdullah, Matthew Baas, Bernd Mobius, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/abdullah-2025-voice-conversion-improves-cross-domain/)
18. [**SinaTools: Open Source Toolkit for Arabic Natural Language Processing**Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hammouda-2024-sinatools-open-source-toolkit-arabic/)
19. [**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/)
20. [**Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic**Lilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/grigoryan-2025-open-automatic-speech-recognition-models/)
21. [**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/)
22. [**WASIL: In-the-Wild Arabic Spoken Interactions with LLMs**Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ali-2026-wasil-wild-arabic-spoken-interactions/)
23. [**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/)
24. [**SAGE: Spliced-Audio Generated Data for Enhancing Foundational Models in Low-Resource Arabic-English Code-Switched Speech Recognition**Muhammad Umar Farooq, Oscar Saz*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/farooq-2025-sage-spliced-audio-generated-data/)
25. [**TuniFra: A Tunisian Arabic Speech Corpus with Orthographic Transcriptions and French Translations**Alex Choux, Marko Avila, Josep Crego, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/choux-2025-tunifra-tunisian-arabic-speech-corpus/)
26. [**UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic**Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nabhani-2024-um-iwslt-2024-low-resource/)
27. [**A Closed-Track System for Palestinian Arabic in the AMIYA Shared Task**Khaleel Hamad, Ahmad Al-Najjar*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hamad-2026-closed-track-system-palestinian-arabic/)
28. [**AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026**Nathaniel R. Robinson, Shahd Abdelmoneim, Anjali Kantharuban, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/robinson-2026-amiya-shared-task-arabic-modeling/)
29. [**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/)
30. [**Bulbul: A Dataset for Dialectal Arabic Speech Recognition**Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ashraf-2026-bulbul-dataset-dialectal-arabic-speech/)
31. [**CTC-DID: CTC-Based Arabic dialect identification for streaming applications**Muhammad Umar Farooq, Oscar Saz*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/farooq-2026-ctc-did-ctc-based-arabic/)
32. [**Doing More with Less: Data Augmentation for Sudanese Dialect Automatic Speech Recognition**Ayman Mansour*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mansour-2026-doing-more-less-data-augmentation/)
33. [**Ramsa: A Large Sociolinguistically Rich Emirati Arabic Speech Corpus for ASR and TTS**Rania Al-Sabbagh*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sabbagh-2026-ramsa-large-sociolinguistically-rich-emirati/)
34. [**WhiteHouse: Translation of the Casablanca Corpus for Multi-dialectal Arabic Speech Translation**Fethi Bougares, Salima Mdhaffar, Yannick Estève*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bougares-2026-whitehouse-translation-casablanca-corpus-multi/)
35. [**Arabic Little STT: Arabic Children Speech Recognition Dataset**Mouhand Alkadri, Dania Desouki, Khloud Al Jallad*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alkadri-2025-arabic-little-stt-arabic-children/)
36. [**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/)
37. [**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/)
38. [**Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation**Jonathan Mutal, Perla Al Almaoui, Simon Hengchen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mutal-2026-aladdin-fti-amiya-three-wishes/)
39. [**Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition**Omid Ghahroodi, Anas Madkoor, Dima Faris Al Saudi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ghahroodi-2026-almieyar-culturally-grounded-benchmark-multi/)
40. [**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/)
41. [**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/)
42. [**ArFake: A Robust Framework for Multi-Dialect Arabic Speech Spoofing Detection Benchmark**Mohamed Elsetohy, Alhassan Ehab, Ali Mekky, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elsetohy-2025-arfake-robust-framework-multi-dialect/)
43. [**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/)
44. [**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/)

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

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