---
title: "Who cites The Qiyas Benchmark: Measuring — 6 citing papers"
description: "6 papers of the Elamur Research library cite «The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in…"
canonical: "https://research.elamur.ai/free/en/papers/khalifa-2024-qiyas-benchmark-measuring-chatgpt-mathematical/cited-by/"
---
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# Who cites «The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic»](https://md.research.elamur.ai/free/en/papers/khalifa-2024-qiyas-benchmark-measuring-chatgpt-mathematical/)

1. **[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*
2. [**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/)
3. [**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/)
4. **[On LLM Prompting Techniques for Arabic Language Arithmetic Reasoning](https://md.research.elamur.ai/free/en/papers/alenezi-2026-llm-prompting-techniques-arabic-language/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Reem Alenezi, Ayed Atallah Salman*2026*
5. **[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*
6. **[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*
- [← back to](https://md.research.elamur.ai/free/en/papers/khalifa-2024-qiyas-benchmark-measuring-chatgpt-mathematical/) — The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic
