--- title: "Who cites Neural Arabic Question Answering — 63 citing papers" description: "63 papers of the Elamur Research library cite «Neural Arabic Question Answering», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) / cited by # Who cites «Neural Arabic Question Answering» 63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Neural Arabic Question Answering»](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) 1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,302 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/) 2. **[MLQA: Evaluating Cross-lingual Extractive Question Answering](https://md.research.elamur.ai/free/en/papers/lewis-2019-mlqa-evaluating-cross-lingual-extractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Patrick Lewis, Barlas Oğuz, Ruty Rinott, et al.*2019 · 738 citations* 3. [**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/) 4. **[The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants](https://md.research.elamur.ai/free/en/papers/bandarkar-2023-belebele-benchmark-parallel-reading-comprehension/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.*2023 · 259 citations* 5. **[AraT5: Text-to-Text Transformers for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations* 6. **[ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fajri Koto, Haonan Li, Sara Shatnawi, et al.*2024 · 116 citations* 7. [**FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language arXiv:2506.20920**Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2025-fineweb2-one-pipeline-scale-them/) 8. **[AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/antoun-2021-araelectra-pre-training-text-discriminators/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Wissam Antoun, Fady Baly, Hazem Hajj*2021 · 97 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. **[AraGPT2: Pre-Trained Transformer for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Wissam Antoun, Fady Baly, Hazem Hajj*2021 · 79 citations* 11. **[AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs](https://md.research.elamur.ai/free/en/papers/mousi-2025-aradice-benchmarks-dialectal-cultural-capabilities/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.*2025 · 68 citations* 12. **[Exploring Retrieval Augmented Generation in Arabic](https://md.research.elamur.ai/free/en/papers/el-beltagy-2024-exploring-retrieval-augmented-generation-arabic/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Samhaa R. El-Beltagy, Mohamed A. Abdallah*2024 · 22 citations* 13. **[A Large and Diverse Arabic Corpus for Language Modeling](https://md.research.elamur.ai/free/en/papers/ali-2022-large-diverse-arabic-corpus-language/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Abbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.*2022 · 16 citations* 14. [**AmQA: Amharic Question Answering Dataset arXiv:2303.03290**Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/abedissa-2023-amqa-amharic-question-answering-dataset/) 15. **[Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith](https://md.research.elamur.ai/free/en/papers/altammami-2022-challenging-transformer-based-models-classical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shatha Altammami, Eric Atwell*2022 · 6 citations* 16. [**GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning arXiv:2407.02147**Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/chouikhi-2024-gemmar-enhancing-llms-through-arabic/) 17. **[Enhanced Arabic Text Retrieval with Attentive Relevance Scoring](https://md.research.elamur.ai/free/en/papers/bekhouche-2025-enhanced-arabic-text-retrieval-attentive/) [IEEE International Workshop on Machine Learning for Signal Processing (MLSP)](https://md.research.elamur.ai/free/en/venues/ieee-international-workshop-on-machine-learning-for-signal-processing-mlsp/)**Salah Eddine Bekhouche, Azeddine Benlamoudi, Yazid Bounab, et al.*2025 · 2 citations* 18. [**Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components arXiv:2506.06339**Jumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alsubhi-2025-optimizing-rag-pipelines-arabic-systematic/) 19. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension arXiv:2609.01113**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/) 20. **[Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction](https://md.research.elamur.ai/free/en/papers/basem-2025-two-stage-quranic-qa-ensemble/) [IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)](https://md.research.elamur.ai/free/en/venues/ieee-acs-international-conference-on-computer-systems-and-applications-aiccsa/)**Mohamed Basem; Islam Oshallah; Ali Hamdi; Khaled Shaban;, Hozaifa Kassab*2025* 43 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) — Neural Arabic Question Answering