---
title: "Who cites Maitha Alhammadi — 37 papers of our library"
description: "37 papers of the Elamur Research library cite the works of Maitha Alhammadi, found in their bibliographies; the most cited first."
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---
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# Who cites Maitha Alhammadi

37 citations of their works from 37 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · [← Maitha Alhammadi](https://md.research.elamur.ai/free/en/authors/maitha-alhammadi/)

1. [**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/)
2. **[CIDAR: Culturally Relevant Instruction Dataset For Arabic](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-cidar-culturally-relevant-instruction-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.*2024 · 30 citations*
3. **[Arabic Dataset for LLM Safeguard Evaluation](https://md.research.elamur.ai/free/en/papers/ashraf-2025-arabic-dataset-llm-safeguard-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yasser Ashraf, Yuxia Wang, Bin Gu, et al.*2025 · 22 citations*
4. **[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*
5. [**CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks arXiv:2409.12623**Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/qian-2024-cameleval-advancing-culturally-aligned-arabic/)
6. [**Jais 2: A Family of Arabic-Centric Open Large Language Models arXiv:2608.13580**Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.*2026 · 14 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2026-jais-2-family-arabic-centric/)
7. **[BALSAM: A Platform for Benchmarking Arabic Large Language Models](https://md.research.elamur.ai/free/en/papers/matham-2025-balsam-platform-benchmarking-arabic-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed, et al.*2025 · 14 citations*
8. [**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/)
9. [**From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluation arXiv:2506.01920**Serry Sibaee, Omer Nacar, Adel Ammar, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/sibaee-2025-guidelines-practice-new-paradigm-arabic/)
10. [**Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic arXiv:2412.04277**Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-arabic-stable-lm-adapting-stable/)
11. **[Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale](https://md.research.elamur.ai/free/en/papers/hammoud-2026-hala-technical-report-building-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Hasan Abed Al Kader Hammoud, Mohamad Bilal Zbib, Bernard Ghanem*2026 · 5 citations*
12. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology arXiv:2506.01340**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/)
13. [**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/)
14. **[rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/salam-2024-rematchka-arabicnlu2024-evaluating-large-language/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Reem Abdel-Salam*2024 · 4 citations*
15. **[AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/zbib-2026-aralingbench-human-annotated-benchmark-evaluating/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Mohamad Bilal Zbib, Hasan Abed Al Kader Hammoud, Ammar Mohanna, et al.*2026 · 3 citations*
16. **[ALARB: An Arabic Legal Argument Reasoning Benchmark](https://md.research.elamur.ai/free/en/papers/shairah-2025-alarb-arabic-legal-argument-reasoning/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Harethah Abu Shairah, Somayah AlHarbi, Abdulaziz AlHussein, et al.*2025 · 3 citations*
17. **[Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes](https://md.research.elamur.ai/free/en/papers/boussaha-2025-adapting-falcon3-7b-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.*2025 · 2 citations*
18. **[Cultura-Arabica: Probing and Enhancing Arabic Cultural Awareness in Large Language Models via LoRA](https://md.research.elamur.ai/free/en/papers/chatwal-2025-cultura-arabica-probing-enhancing-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pulkit Chatwal, Santosh Kumar Mishra*2025 · 2 citations*
19. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
20. **[Evaluation of Large Language Models on Arabic Punctuation Prediction](https://md.research.elamur.ai/free/en/papers/wazrah-2025-evaluation-large-language-models-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Asma Ali Al Wazrah, Afrah Altamimi, Hawra Aljasim, et al.*2025 · 1 citation*
21. [**Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks arXiv:2507.19699**Maitha Alshehhi, Ahmed Sharshar, Mohsen Guizani*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alshehhi-2025-towards-inclusive-nlp-assessing-compressed/)
22. **[DRU at WojoodNER 2024: ICL LLM for Arabic NER](https://md.research.elamur.ai/free/en/papers/hamdan-2024-dru-wojoodner-2024-icl-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Nancy Hamdan, Hadi Hamoud, Chadi Abou Chakra, et al.*2024 · 1 citation*
23. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models arXiv:2405.12884**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
24. [**ALPS: A Diagnostic Challenge Set for Arabic Linguistic & Pragmatic Reasoning arXiv:2602.17054**Hussein S. Al-Olimat, Ahmad Alshareef*2026*](https://md.research.elamur.ai/free/en/papers/al-olimat-2026-alps-diagnostic-challenge-set-arabic/)
25. [**Mizan: A National Benchmark for Evaluating Large Language Models on Iraqi Arabic and the Iraqi Civic Context arXiv:2609.13980**Nawar S. Alseelawi, Mustafa S. Aljumaily*2026*](https://md.research.elamur.ai/free/en/papers/alseelawi-2026-mizan-national-benchmark-evaluating-large/)
26. [**State-of-the-Art Arabic Language Modeling with Sparse MoE Fine-Tuning and Chain-of-Thought Distillation arXiv:2604.06421**Navan Preet Singh, Anurag Garikipati, Ahmed Abulkhair, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-state-art-arabic-language-modeling/)
27. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
28. **[Saudi-Alignment Benchmark: Assessing LLMs Alignment with Cultural Norms and Domain Knowledge in the Saudi Context](https://md.research.elamur.ai/free/en/papers/alhassoun-2025-saudi-alignment-benchmark-assessing-llms/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Manal Alhassoun, Imaan Mohammed Alkhanen, Nouf Alshalawi, et al.*2025*
29. **[The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic Text](https://md.research.elamur.ai/free/en/papers/rayes-2025-need-robust-inclusive-benchmarks-evaluating/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Lubana Al Rayes, Ashraf Elnagar*2025*
30. [**Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care arXiv:2406.15966**Hassan Alhuzali, Ashwag Alasmari*2024*](https://md.research.elamur.ai/free/en/papers/alhuzali-2024-evaluating-effectiveness-foundational-models-q/)
31. [**Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is Enough arXiv:2408.15793**Konstantin Dobler, Gerard de Melo*2024*](https://md.research.elamur.ai/free/en/papers/dobler-2024-language-adaptation-tight-academic-compute/)

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

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