---
title: "Who cites Hussein Mozannar — 117 papers of our library"
description: "117 papers of the Elamur Research library cite the works of Hussein Mozannar, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/hussein-mozannar/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hussein-mozannar/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Hussein Mozannar](https://md.research.elamur.ai/free/en/authors/hussein-mozannar/) / cited by

# Who cites Hussein Mozannar

118 citations of their works from 117 papers of our library (of the 149,439 whose bibliographies we read) · 63 with a page here, the most cited first · [← Hussein Mozannar](https://md.research.elamur.ai/free/en/authors/hussein-mozannar/)

1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,304 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 · 747 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. **[Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 339 citations*
5. **[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 · 262 citations*
6. **[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*
7. **[ELEPHANT: Measuring and understanding social sycophancy in LLMs](https://md.research.elamur.ai/free/en/papers/cheng-2025-elephant-measuring-understanding-social-sycophancy/) [Science](https://md.research.elamur.ai/free/en/venues/science/)**Myra Cheng, Sunny Yu, Cinoo Lee, et al.*2025 · 188 citations*
8. **[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 · 117 citations*
9. [**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 · 99 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2025-fineweb2-one-pipeline-scale-them/)
10. **[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*
11. [**Multi-Agent Collaboration Mechanisms: A Survey of LLMs arXiv:2501.06322**Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.*2025 · 95 citations*](https://md.research.elamur.ai/free/en/papers/tran-2025-multi-agent-collaboration-mechanisms/)
12. [**Why Do Multi-Agent LLM Systems Fail? arXiv:2503.13657**Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.*2025 · 89 citations*](https://md.research.elamur.ai/free/en/papers/cemri-2025-why-multi-agent-llm/)
13. **[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*
14. [**LLMs Get Lost In Multi-Turn Conversation arXiv:2505.06120**Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.*2025 · 82 citations*](https://md.research.elamur.ai/free/en/papers/laban-2025-llms-get-lost-multi-turn/)
15. **[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*
16. **[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*
17. **[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*
18. **[Dolphin: A Challenging and Diverse Benchmark for Arabic NLG](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-dolphin-challenging-diverse-benchmark-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed Oumar El-Shangiti, et al.*2023 · 35 citations*
19. **[Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2023-qur-qa-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2023 · 33 citations*
20. **[Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2022-qur-qa-2022-overview-first/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2022 · 32 citations*
21. **[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*
22. **[Empathy-driven Arabic Conversational Chatbot](https://md.research.elamur.ai/free/en/papers/naous-2020-empathy-driven-arabic-conversational-chatbot/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Tarek Naous, Christian Hokayem, Hazem Hajj*2020 · 23 citations*
23. **[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*
24. **[Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM](https://md.research.elamur.ai/free/en/papers/alnumay-2025-command-r7b-arabic-small-enterprise/) [Workshop on African Natural Language Processing](https://md.research.elamur.ai/free/en/venues/africanlp/)**Yazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.*2025 · 18 citations*
25. **[Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs](https://md.research.elamur.ai/free/en/papers/ghallabi-2025-fann-or-flop-multigenre-multiera/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura, et al.*2025 · 16 citations*
26. **[Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for Tigrinya](https://md.research.elamur.ai/free/en/papers/gaim-2023-question-answering-low-resourced-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fitsum Gaim, Wonsuk Yang, Hancheol Park, et al.*2023 · 16 citations*
27. **[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*
28. **[AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents](https://md.research.elamur.ai/free/en/papers/tang-2026-autoagent-fully-automated-zero-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiabin Tang, Tianyu Fan, Chao Huang*2026 · 13 citations*
29. **[Benchmarking LLaMA-3 on Arabic Language Generation Tasks](https://md.research.elamur.ai/free/en/papers/khondaker-2024-benchmarking-llama-3-arabic-language/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md Tawkat Islam Khondaker, Numaan Naeem, Fatimah Khan, et al.*2024 · 12 citations*
30. **[DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain](https://md.research.elamur.ai/free/en/papers/premasiri-2022-dtw-qur-qa-2022-utilising/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Damith Premasiri, Tharindu Ranasinghe, Wajdi Zaghouani, et al.*2022 · 11 citations*
31. [**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/)
32. **[Contextual Embeddings for Arabic-English Code-Switched Data](https://md.research.elamur.ai/free/en/papers/sabty-2020-contextual-embeddings-arabic-english-code/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Caroline Sabty, Mohamed Islam, Slim Abdennadher*2020 · 9 citations*
33. [**Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps arXiv:2510.13430**Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alzubaidi-2025-evaluating-arabic-large-language-models/)
34. **[Low Resource Question Answering: An Amharic Benchmarking Dataset](https://md.research.elamur.ai/free/en/papers/taffa-2024-low-resource-question-answering-amharic/) [Resources for African Indigenous Languages (RAIL) @ LREC](https://md.research.elamur.ai/free/en/venues/rail/)**Tilahun Abedissa Taffa, Ricardo Usbeck, Yaregal Assabie*2024 · 8 citations*
35. **[ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective](https://md.research.elamur.ai/free/en/papers/alrowili-2021-arabictransformer-efficient-large-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan Alrowili, K. Vijay-Shanker*2021 · 8 citations*
36. **[Scaling Collaborative Effort with Agents](https://md.research.elamur.ai/free/en/papers/shen-2026-scaling-collaborative-effort-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shannon Zejiang Shen, Valerie Chen, Ken Gu, et al.*2026 · 7 citations*
37. **[TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based Models](https://md.research.elamur.ai/free/en/papers/elkomy-2022-tce-qur-qa-2022-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Mohamemd Elkomy, Amany M. Sarhan*2022 · 7 citations*
38. **[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*
39. **[Coding Agents with Multimodal Browsing are Generalist Problem Solvers](https://md.research.elamur.ai/free/en/papers/soni-2026-coding-agents-multimodal-browsing-are/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.*2026 · 5 citations*
40. **[Arabic Compact Language Modelling for Resource Limited Devices](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Zaid Alyafeai, Irfan Ahmad*2021 · 5 citations*
41. [**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/)
42. **[GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/) [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*2022 · 4 citations*
43. **[Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset](https://md.research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ahmed Sleem, Eman Mohammed lotfy Elrefai, Marwa Mohammed Matar, et al.*2022 · 4 citations*
44. **[LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an](https://md.research.elamur.ai/free/en/papers/alnefaie-2023-lkau23-qur-qa-2023-transformer/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sarah Alnefaie, Abdullah Alsaleh, Eric Atwell, et al.*2023 · 3 citations*
45. **[QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Basem Ahmed, Motaz Saad, Eshrag A. Refaee*2022 · 3 citations*
46. **[SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/esmeir-2021-serag-semantic-entity-retrieval-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Saher Esmeir*2021 · 3 citations*
47. **[a1: Steep Test-time Scaling Law via Environment Augmented Generation](https://md.research.elamur.ai/free/en/papers/mei-2026-a1-steep-test-time-scaling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 2 citations*
48. **[EvoRoute: Experience-Driven Self-Routing LLM Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-evoroute-experience-driven-self-routing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.*2026 · 2 citations*
49. **[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*
50. [**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/)
51. **[ArTrivia: Harvesting Arabic Wikipedia to Build A New Arabic Question Answering Dataset](https://md.research.elamur.ai/free/en/papers/alrowili-2023-artrivia-harvesting-arabic-wikipedia-build/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sultan Alrowili, K Vijay-Shanker*2023 · 2 citations*
52. **[LK2022 at Qur'an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur'an](https://md.research.elamur.ai/free/en/papers/alsaleh-2022-lk2022-qur-qa-2022-simple/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdullah Alsaleh, Saud Althabiti, Ibtisam Alshammari, et al.*2022 · 2 citations*
53. **[What does BERT Learn from Arabic Machine Reading Comprehension Datasets?](https://md.research.elamur.ai/free/en/papers/albilali-2021-what-does-bert-learn-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Eman Albilali, Nora Altwairesh, Manar Hosny*2021 · 2 citations*
54. **[LVLMs and Humans Ground Differently in Referential Communication](https://md.research.elamur.ai/free/en/papers/zeng-2026-lvlms-humans-ground-differently-referential/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter Zeng, Weiling Li, Amie J. Paige, et al.*2026 · 1 citation*
55. **[PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints](https://md.research.elamur.ai/free/en/papers/park-2026-pac-bench-evaluating-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Donghyun Kim, Hyeonjong Ju, et al.*2026 · 1 citation*
56. **[From Multiple-Choice to Extractive QA: A Case Study for English and Arabic](https://md.research.elamur.ai/free/en/papers/lynn-2025-multiple-choice-extractive-qa-case/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Teresa Lynn, Malik H. Altakrori, Samar M. Magdy, et al.*2025 · 1 citation*
57. **[Open-domain Arabic Conversational Question Answering with Question Rewriting](https://md.research.elamur.ai/free/en/papers/hassib-2025-open-domain-arabic-conversational-question/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mariam E. Hassib, Nagwa El-Makky, Marwan Torki*2025 · 1 citation*
58. **[Phoenix at Palmx: Exploring Data Augmentation for Arabic Cultural Question Answering](https://md.research.elamur.ai/free/en/papers/atou-2025-phoenix-palmx-exploring-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Houdaifa Atou, Issam Ait Yahia, Ismail Berrada*2025 · 1 citation*
59. [**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/)
60. [**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/)
61. **[InkSight: Towards AI-Aided Historical Manuscript Analysis](https://md.research.elamur.ai/free/en/papers/sakhovskiy-2026-inksight-ai-aided-historical-manuscript/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrey Sakhovskiy, Ivan Ulitin, Emilia Bojarskaja, et al.*2026*
62. **[Can LLMs Directly Retrieve Passages for Answering Questions from Qur'an?](https://md.research.elamur.ai/free/en/papers/eltanbouly-2025-can-llms-directly-retrieve-passages/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sohaila Eltanbouly, Salam Albatarni, Shaimaa Hassanein, et al.*2025*
63. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/authors/hussein-mozannar/) — Hussein Mozannar