---
title: "Who cites Maraim Masoud"
description: "178 papers of the Elamur Research library cite the works of Maraim Masoud, found in their bibliographies · page 1 of 2; the most cited first."
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---
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# Who cites Maraim Masoud

200 citations of their works from 178 papers of our library (of the 140 884 whose bibliographies we read) · 29 with a page here, the most cited first · page 1 of 2 · [← Maraim Masoud](https://md.research.elamur.ai/free/en/authors/maraim-masoud/)

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- [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/) — Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al. · 2022 · 1 695 citations
- [A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly](https://md.research.elamur.ai/free/en/papers/yao-2023-survey-large-language-model-llm/) — Yifan Yao, Jinhao Duan, Kaidi Xu, et al. · 2023 · 1 181 citations
- [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/) — Sidney Black, Stella Biderman, Eric Hallahan, et al. · 2022 · 818 citations
- [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · 2023 · 590 citations
- [The Falcon Series of Open Language Models](https://md.research.elamur.ai/free/en/papers/almazrouei-2023-falcon-series-open-language-models/) — Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al. · 2023 · 436 citations
- [Large Language Models Struggle to Learn Long-Tail Knowledge](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/) — Nikhil Kandpal, Haikang Deng, Adam Roberts, et al. · 2022 · 352 citations
- [Challenges and Applications of Large Language Models](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/) — Jean Kaddour, Joshua Harris, Maximilian Mozes, et al. · 2023 · 300 citations
- [Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) — Tarek Naous, Michael J. Ryan, Alan Ritter, et al. · 2023 · 268 citations
- [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) — Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. · 2024 · 245 citations
- [Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity](https://md.research.elamur.ai/free/en/papers/zhuo-2023-red-teaming-chatgpt-jailbreaking-bias/) — Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al. · 2023 · 243 citations
- [What matters when building vision-language models?](https://md.research.elamur.ai/free/en/papers/lauren-2024-ccon-matters-building-vision-language-models/) — Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al. · 2024 · 195 citations
- [OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-obelics-open-web-scale-filtered/) — Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al. · 2023 · 183 citations
- [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://md.research.elamur.ai/free/en/papers/nguyen-2023-culturax-cleaned-enormous-multilingual-dataset/) — Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al. · 2023 · 179 citations
- [Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/) — Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al. · 2023 · 164 citations
- [DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/) — Jeffrey Li, Alex Fang, Georgios Smyrnis, et al. · 2024 · 156 citations
- [The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-bigscience-roots-corpus-1-6tb/) — Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al. · 2023 · 145 citations
- [ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/) — Fajri Koto, Haonan Li, Sara Shatnawi, et al. · 2024 · 116 citations
- [Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets](https://md.research.elamur.ai/free/en/papers/altaher-2022-masader-plus-new-interface-exploring/) — Yousef Altaher, Ali Fadel, Mazen Alotaibi, et al. · 2022 · 16 citations
- [How well can LLMs Grade Essays in Arabic?](https://md.research.elamur.ai/free/en/papers/ghazawi-2025-well-llms-grade-essays-arabic/) — Rayed Ghazawi, Edwin Simpson · 2025 · 11 citations
- [Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith](https://md.research.elamur.ai/free/en/papers/altammami-2022-challenging-transformer-based-models-classical/) — Shatha Altammami, Eric Atwell · 2022 · 6 citations
- [Gender Bias Evaluation in Machine Translation for Amharic, Tigrigna, and Afaan Oromoo](https://md.research.elamur.ai/free/en/papers/sewunetie-2024-gender-bias-evaluation-machine-translation/) — Walelign Sewunetie, Atnafu Tonja, Tadesse Belay, et al. · 2024 · 5 citations
- [Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens](https://md.research.elamur.ai/free/en/papers/nigatu-2026-evaluating-machine-translation-datasets-low/) — Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, et al. · 2026 · 1 citation
- [MarsadLab at AraGenEval Shared Task: LLM-Based Approaches to Arabic Authorship Style Transfer and Identification](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-arageneval-shared-task-llm/) — Md. Rafiul Biswas, Mabrouka Bessghaier, Firoj Alam, et al. · 2025 · 1 citation
- [Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain](https://md.research.elamur.ai/free/en/papers/alshuhayeb-2023-noor-ghateh-benchmark-dataset-evaluating/) — Huda AlShuhayeb, Behrouz Minaei-Bidgoli, Mohammad E. Shenassa, et al. · 2023 · 1 citation
- [How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) — Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al. · 2026

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