---
title: "Who cites Daniel Izham — 58 papers of our library"
description: "58 papers of the Elamur Research library cite the works of Daniel Izham, found in their bibliographies; the most cited first."
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---
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# Who cites Daniel Izham

58 citations of their works from 58 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · [← Daniel Izham](https://md.research.elamur.ai/free/en/authors/daniel-izham/)

1. [**Fanar: An Arabic-Centric Multimodal Generative AI Platform arXiv:2501.13944**Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.*2025 · 127 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/)
2. **[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*
3. **[A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations](https://md.research.elamur.ai/free/en/papers/laskar-2024-systematic-survey-critical-review-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.*2024 · 105 citations*
4. **[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*
5. **[NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2024-nadi-2024-fifth-nuanced-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany, et al.*2024 · 59 citations*
6. **[ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/hijazi-2024-arablegaleval-multitask-benchmark-assessing-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Faris Hijazi, Somayah AlHarbi, Abdulaziz AlHussein, et al.*2024 · 28 citations*
7. **[ArMeme: Propagandistic Content in Arabic Memes](https://md.research.elamur.ai/free/en/papers/alam-2024-armeme-propagandistic-content-arabic-memes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Firoj Alam, Abul Hasnat, Fatema Ahmad, et al.*2024 · 28 citations*
8. **[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*
9. **[KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://md.research.elamur.ai/free/en/papers/heakl-2025-kitab-bench-comprehensive-multi-domain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.*2025 · 21 citations*
10. **[Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect](https://md.research.elamur.ai/free/en/papers/shang-2025-atlas-chat-adapting-large-language/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Guokan Shang, Hadi Abdine, Yousef Khoubrane, et al.*2025 · 18 citations*
11. **[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*
12. [**101 Billion Arabic Words Dataset arXiv:2405.01590**Manel Aloui, Hasna Chouikhi, Ghaith Chaabane, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/aloui-2024-101-billion-arabic-words-dataset/)
13. **[Open Universal Arabic ASR Leaderboard](https://md.research.elamur.ai/free/en/papers/wang-2024-open-universal-arabic-asr-leaderboard/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Yingzhi Wang, Anas Alhmoud, Muhammad Alqurishi*2024 · 13 citations*
14. **[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*
15. [**Fanar 2.0: Arabic Generative AI Stack arXiv:2603.16397**FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.*2026 · 11 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-fanar-2-0-arabic-generative/)
16. **[A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/hamed-2025-survey-code-switched-arabic-nlp/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Injy Hamed, Caroline Sabty, Slim Abdennadher, et al.*2025 · 10 citations*
17. **[DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/altakrori-2026-dialectalarabicmmlu-benchmarking-dialectal-capabilities-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Malik H. Altakrori, Nizar Habash, Teresa Lynn, et al.*2026 · 9 citations*
18. **[From RAG to Agentic RAG for Faithful Islamic Question Answering](https://md.research.elamur.ai/free/en/papers/bhatia-2026-rag-agentic-rag-faithful-islamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar, et al.*2026 · 8 citations*
19. **[AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP](https://md.research.elamur.ai/free/en/papers/hasanaath-2025-arareasoner-evaluating-reasoning-based-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahmed Abul Hasanaath, Aisha Alansari, Ahmed Ashraf, et al.*2025 · 8 citations*
20. [**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/)
21. **[OSACT 2024 Task 2: Arabic Dialect to MSA Translation](https://md.research.elamur.ai/free/en/papers/atwany-2024-osact-2024-task-2-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Hanin Atwany, Nour Rabih, Ibrahim Mohammed, et al.*2024 · 7 citations*
22. **[Evaluating RAG Pipelines for Arabic Lexical Information Retrieval: A Comparative Study of Embedding and Generation Models](https://md.research.elamur.ai/free/en/papers/rasheed-2025-evaluating-rag-pipelines-arabic-lexical/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Raghad Al-Rasheed, Abdullah Al Muaddi, Hawra Aljasim, et al.*2025 · 6 citations*
23. [**Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic**Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kheir-2024-beyond-orthography-automatic-recovery-short/)
24. **[Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning](https://md.research.elamur.ai/free/en/papers/ozyilmaz-2025-overcoming-data-scarcity-multi-dialectal/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Omer Tarik Ozyilmaz, Matt Coler, Matias Valdenegro-Toro*2025 · 4 citations*
25. **[PuxAI at QIAS 2025: Multi-Agent Retrieval-Augmented Generation for Islamic Inheritance and Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/phuc-2025-puxai-qias-2025-multi-agent/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Nguyen Xuan Phuc, Thìn Đặng Văn*2025 · 4 citations*
26. **[Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants](https://md.research.elamur.ai/free/en/papers/bhatti-2026-beyond-mcq-open-ended-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hunzalah Hassan Bhatti, Firoj Alam*2026 · 3 citations*
27. **[Are Dialects Better Prompters? A Case Study on Arabic Subjective Text Classification](https://md.research.elamur.ai/free/en/papers/moudjari-2025-are-dialects-better-prompters-case/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leila Moudjari, Farah Benamara*2025 · 3 citations*
28. **[AYA at PalmX 2025: Modeling Cultural and Islamic Knowledge in LLMs](https://md.research.elamur.ai/free/en/papers/tajrin-2025-aya-palmx-2025-modeling-cultural/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Jannatul Tajrin, Bir Ballav Roy, Firoj Alam*2025 · 2 citations*
29. [**Can Large Language Models Predict the Outcome of Judicial Decisions? arXiv:2501.09768**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kmainasi-2025-large-language-models-predict-outcome/)
30. **[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*
31. **[Relations: Arabic Relation Extraction Corpus and Modeling](https://md.research.elamur.ai/free/en/papers/aljabari-2025-mathrmwojood-relations-arabic-relation-extraction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alaa Aljabari, Mohammed Khalilia, Mustafa Jarrar*2025 · 2 citations*
32. **[AraSim: Optimizing Arabic Dialect Translation in Children's Literature with LLMs and Similarity Scores](https://md.research.elamur.ai/free/en/papers/bouomar-2025-arasim-optimizing-arabic-dialect-translation/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Alaa Bouomar, Noorhan Abbas*2025 · 1 citation*
33. **[CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation](https://md.research.elamur.ai/free/en/papers/bhatti-2025-cultranai-palmx-2025-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan, et al.*2025 · 1 citation*
34. **[MarsadLab at PalmX Shared Task: An LLM Benchmark for Arabic Culture and Islamic Civilization](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-palmx-shared-task-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md. Rafiul Biswas, Shimaa Ibrahim, Kais Attia, et al.*2025 · 1 citation*
35. **[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*
36. [**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/)
37. [**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/)
38. [**Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation arXiv:2604.03395**Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alqadi-2026-arabic-benchmarks-reliable-qimma-s/)
39. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection arXiv:2604.06456**Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nowshin-2026-context-aware-dialectal-arabic-machine/)
40. **[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*
41. **[Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning](https://md.research.elamur.ai/free/en/papers/ukarapol-2026-language-aware-token-boosting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng*2026*
42. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs arXiv:2601.12494**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
43. [**Nuha-Speech: Building General-Purpose Arabic Speech-LLMs arXiv:2609.11892**Yingzhi Wang, Reem Alhazzani, Muhammad Alqurishi*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-nuha-speech-building-general-purpose/)
44. **[Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu](https://md.research.elamur.ai/free/en/papers/alsuhaibani-2026-uslub-abjadauthorid-shared-task-comparative/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Shahad Alsuhaibani, Mohamed Alkaoud*2026*
45. **[Zero-Shot Context-Aware ASR for Diverse Arabic Varieties](https://md.research.elamur.ai/free/en/papers/talafha-2026-zero-shot-context-aware-asr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bashar Talafha, Amin Abu Alhassan, Muhammad Abdul-Mageed*2026*
46. [**ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection arXiv:2510.03502**Ali Khairallah, Arkaitz Zubiaga*2025*](https://md.research.elamur.ai/free/en/papers/khairallah-2025-alhd-large-scale-multigenre-benchmark/)
47. **[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*
48. [**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/)

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