--- title: "Who cites Saied Alshahrani" description: "57 papers of the Elamur Research library cite the works of Saied Alshahrani, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/saied-alshahrani/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/saied-alshahrani/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Saied Alshahrani](https://md.research.elamur.ai/free/en/authors/saied-alshahrani/) / cited by # Who cites Saied Alshahrani 62 citations of their works from 57 papers of our library (of the 140,884 whose bibliographies we read) · 21 with a page here, the most cited first · [← Saied Alshahrani](https://md.research.elamur.ai/free/en/authors/saied-alshahrani/) 1. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/) 2. [**CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks**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/) 3. [**Alignment at Pre-training! Towards Native Alignment for Arabic LLMs**Juhao Liang, Zhenyang Cai, Jianqing Zhu, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-alignment-pre-training-towards-native/) 4. [**101 Billion Arabic Words Dataset**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/) 5. [**DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models**Malik H. Altakrori, Nizar Habash, Teresa Lynn, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/altakrori-2026-dialectalarabicmmlu-benchmarking-dialectal-capabilities-arabic/) 6. [**Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic**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/) 7. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology**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/) 8. [**GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning**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/) 9. [**Bridging Language Barriers in Healthcare: A Study on Arabic LLMs**Nada Saadi, Tathagata Raha, Clement Christophe, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/saadi-2025-bridging-language-barriers-healthcare-study/) 10. [**Bridging Scientific Heritage: An Arabic — Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer**Mullosharaf K. Arabov*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/arabov-2026-bridging-scientific-heritage-arabic-russian/) 11. [**Evaluation of Adversarial Robustness in Arabic Language Models**Anwar Alajmi, Ayed Salman, Imtiaz Ahmad*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alajmi-2026-evaluation-adversarial-robustness-arabic-language/) 12. [**Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition**Saied Alshahrani, Hesham Haroon Mohammed, Ali Elfilali, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alshahrani-2024-leveraging-corpus-metadata-detect-template/) 13. [**ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models**Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan*2026*](https://md.research.elamur.ai/free/en/papers/alhumud-2026-arabicnumbench-evaluating-arabic-number-reading/) 14. [**Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation**Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alqadi-2026-arabic-benchmarks-reliable-qimma-s/) 15. [**Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models**Linhai Ma, Rita El Hachem, Mahatab El Hajj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-assessing-suicide-risk-arabic-crisis/) 16. [**BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects**Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/almutairi-2026-barrac-adaptation-english-aspect-based/) 17. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection**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/) 18. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**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/) 19. [**SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models**Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdelnasser-2026-salamahbench-dialect-category-level-safety/) 20. [**MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation**Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elozeiri-2025-mudric-multi-dialect-reasoning-arabic/) 21. [**SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data**Sultan Alrashed, Chadi Helwe, Francesco Orabona*2025*](https://md.research.elamur.ai/free/en/papers/alrashed-2025-smolkalam-ensemble-quality-filtered-translation/) 36 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/saied-alshahrani/) — Saied Alshahrani