---
title: "Who cites Perez Ogayo"
description: "606 papers of the Elamur Research library cite the works of Perez Ogayo, found in their bibliographies · page 1 of 3; the most cited first."
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# Who cites Perez Ogayo

770 citations of their works from 606 papers of our library (of the 140 884 whose bibliographies we read) · 61 with a page here, the most cited first · page 1 of 3 · [← Perez Ogayo](https://md.research.elamur.ai/free/en/authors/perez-ogayo/)

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- [On the Opportunities and Risks of Foundation Models](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) — Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. · 2021 · 3 044 citations
- [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
- [Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/) — Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al. · 2024 · 503 citations
- [Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/) — Julia Kreutzer, Isaac Caswell, Lisa Wang, et al. · 2021 · 447 citations
- [Ethical and social risks of harm from Language Models](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/) — Laura Weidinger, John Mellor, Maribeth Rauh, et al. · 2021 · 421 citations
- [A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) — Michael A. Hedderich, Lukas Lange, Heike Adel, et al. · 2021 · 399 citations
- [xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://md.research.elamur.ai/free/en/papers/guerreiro-2024-xcomet-transparent-machine-translation-evaluation/) — Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, et al. · 2024 · 333 citations
- [Challenges and Strategies in Cross-Cultural NLP](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/) — Daniel Hershcovich, Stella Frank, Heather Lent, et al. · 2022 · 290 citations
- [MEGA: Multilingual Evaluation of Generative AI](https://md.research.elamur.ai/free/en/papers/ahuja-2023-mega-multilingual-evaluation-generative-ai/) — Kabir Ahuja, Harshita Diddee, Rishav Hada, et al. · 2023 · 281 citations
- [XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/) — Sebastian Ruder, Noah Constant, Jan Botha, et al. · 2021 · 277 citations
- [Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages](https://md.research.elamur.ai/free/en/papers/ogueji-2021-small-data-no-problem-exploring/) — Kelechi Ogueji, Yuxin Zhu, Jimmy Lin · 2021 · 265 citations
- [Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/) — Markus Freitag, Ricardo Rei, Nitika Mathur, et al. · 2022 · 263 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
- [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://md.research.elamur.ai/free/en/papers/alves-2024-tower-open-multilingual-large-language/) — Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al. · 2024 · 226 citations
- [Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/) — Zhiwei He, Tian Liang, Wenxiang Jiao, et al. · 2024 · 207 citations
- [Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning](https://md.research.elamur.ai/free/en/papers/alabi-2022-adapting-pre-trained-language-models/) — Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al. · 2022 · 195 citations
- [Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/) — Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al. · 2025 · 179 citations
- [Lifting the Curse of Multilinguality by Pre-training Modular Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/) — Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al. · 2022 · 172 citations
- [Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) — Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al. · 2023 · 155 citations
- [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) — David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al. · 2022 · 155 citations
- [MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) — David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al. · 2022 · 150 citations
- [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/) — Nuno M. Guerreiro, Elena Voita, André Martins · 2023 · 147 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
- [AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/) — Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al. · 2023 · 143 citations
- [SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/) — David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al. · 2023 · 135 citations

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