---
title: "Who cites Abdulmohsen Al-Thubaity — 27 papers of our library"
description: "27 papers of the Elamur Research library cite the works of Abdulmohsen Al-Thubaity, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/abdulmohsen-al-thubaity/cited-by/"
---
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# Who cites Abdulmohsen Al-Thubaity

27 citations of their works from 27 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · [← Abdulmohsen Al-Thubaity](https://md.research.elamur.ai/free/en/authors/abdulmohsen-al-thubaity/)

1. **[CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Cheng Li, Mengzhou Chen, Jindong Wang, et al.*2024 · 162 citations*
2. [**Benchmark Data Contamination of Large Language Models: A Survey arXiv:2406.04244**Cheng Xu, Shuhao Guan, Derek Greene, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-benchmark-data-contamination-large/)
3. **[CulturePark: Boosting Cross-cultural Understanding in Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturepark-boosting-cross-cultural-understanding/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Cheng Li, Damien Teney, Linyi Yang, et al.*2024 · 70 citations*
4. **[JASMINE: Arabic GPT Models for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-jasmine-arabic-gpt-models-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.*2023 · 38 citations*
5. **[MAHED Shared Task: Multimodal Detection of Hope and Hate Emotions in Arabic Content](https://md.research.elamur.ai/free/en/papers/zaghouani-2025-mahed-shared-task-multimodal-detection/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Wajdi Zaghouani, Md. Rafiul Biswas, Mabrouka Bessghaier, et al.*2025 · 22 citations*
6. **[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*
7. **[IslamicEval 2025: The First Shared Task of Capturing LLMs Hallucination in Islamic Content](https://md.research.elamur.ai/free/en/papers/mubarak-2025-islamiceval-2025-first-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hamdy Mubarak, Rana Malhas, Watheq Mansour, et al.*2025 · 19 citations*
8. **[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*
9. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
10. **[AraSafe: Benchmarking Safety in Arabic LLMs](https://md.research.elamur.ai/free/en/papers/mubarak-2025-arasafe-benchmarking-safety-arabic-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hamdy Mubarak, Abubakr Mohamed, Majd Hawasly*2025 · 6 citations*
11. **[Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/hannani-2024-assessing-performance-chatgpt-4-fine/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven*2024 · 6 citations*
12. **[From Comments to Harm: A Findings Report on Abusive Tamil Text Targeting Women on Social Media Shared Task](https://md.research.elamur.ai/free/en/papers/sivagnanam-2026-comments-harm-findings-report-abusive/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Bhuvaneswari Sivagnanam, Kathiravan Pannerselvam, Jananayagan, et al.*2026 · 5 citations*
13. **[CAraNER: The COVID-19 Arabic Named Entity Corpus](https://md.research.elamur.ai/free/en/papers/thubaity-2022-caraner-covid-19-arabic-named/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Wejdan Alzahrani, et al.*2022 · 5 citations*
14. **[EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare](https://md.research.elamur.ai/free/en/papers/alamoudi-2025-ehsan-leveraging-chatgpt-hybrid-framework/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Eman Alamoudi, Ellis Solaiman*2025 · 4 citations*
15. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/)
16. **[Multi-task Learning with Active Learning for Arabic Offensive Speech Detection](https://md.research.elamur.ai/free/en/papers/alansari-2025-multi-task-learning-active-learning/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Aisha Alansari, Hamzah Luqman*2025 · 2 citations*
17. **[Fine-tuning AraBert model for arabic sentiment detection](https://md.research.elamur.ai/free/en/papers/jaballah-2025-fine-tuning-arabert-model-arabic/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Mustapha Jaballah, Dhaou Ghoul, Ammar Mars*2025 · 1 citation*
18. [**AraDetox: A Multi-Dialect Arabic Detoxification Dataset arXiv:2608.22894 · ArabicNLP 2026 at EMNLP 2026 Conference**Mo El-Haj*2026*](https://md.research.elamur.ai/free/en/papers/el-haj-2026-aradetox-multi-dialect-arabic-detoxification/)
19. [**ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts arXiv:2609.29349**Firoj Alam, Md. Rafiul Biswas, Mohamed Bayan Kmainasi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alam-2026-arguard-shared-task-harmful-content/)
20. **[DIA2 - a Comprehensive and Diverse Diacritized Arabic Corpus for NLP Research](https://md.research.elamur.ai/free/en/papers/dekmak-2026-dia2-comprehensive-diverse-diacritized-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Fatima Dekmak, Shady Elbassuoni, Khaled Shaban, et al.*2026*
21. **[mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot Prompting](https://md.research.elamur.ai/free/en/papers/abdou-2025-mucai-ahasis-shared-task-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Ahmed Mohamed Abdelaal Abdou*2025*
22. **[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*

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

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