--- title: "Who cites COMET: A Neural Framework for MT Evaluation" description: "1167 papers of the Elamur Research library cite «COMET: A Neural Framework for MT Evaluation», found in their bibliographies · page 1 of 5; the most…" canonical: "https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [COMET: A Neural Framework for MT Evaluation](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/) / cited by # Who cites «COMET: A Neural Framework for MT Evaluation» 1167 papers of our library cite it (of the 140884 whose bibliographies we read) · 114 with a page here, the most cited first · page 1 of 5 · [← the paper](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/) **1** [2](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/2/) … [5](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/2/) - [BARTScore: Evaluating Generated Text as Text Generation](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/) — Weizhe Yuan, Graham Neubig, Pengfei Liu · 2021 · 806 citations - [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) — Markus Freitag, George Foster, David Grangier, et al. · 2021 · 660 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 - [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2022-comet-22-unbabel-ist-2022/) — Ricardo Rei, José G. C. de Souza, Duarte Alves, et al. · 2022 · 433 citations - [CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2022-cometkiwi-ist-unbabel-2022-submission/) — Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al. · 2022 · 325 citations - [Document-Level Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/) — Longyue Wang, Chenyang Lyu, Tianbo Ji, et al. · 2023 · 295 citations - [Prompting Large Language Model for Machine Translation: A Case Study](https://md.research.elamur.ai/free/en/papers/zhang-2023-prompting-large-language-model-machine/) — Biao Zhang, Barry Haddow, Alexandra Birch · 2023 · 293 citations - [Is ChatGPT a Good NLG Evaluator? 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Chitale, Raghavan AK, et al. · 2023 · 200 citations - [Results of the WMT20 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/) — Nitika Mathur, Johnny Wei, Markus Freitag, et al. · 2020 · 195 citations - [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://md.research.elamur.ai/free/en/papers/kocmi-2023-gemba-mqm-detecting-translation-quality/) — Tom Kocmi, Christian Federmann · 2023 · 191 citations - [Towards Making the Most of ChatGPT for Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2023-making-most-chatgpt-machine-translation/) — Keqin Peng, Liang Ding, Qihuang Zhong, et al. · 2023 · 190 citations - [Findings of the IWSLT 2022 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/) — Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al. · 2022 · 177 citations - [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/) — Markus Freitag, Ricardo Rei, Nitika Mathur, et al. · 2021 · 169 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 - [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) — Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al. · 2023 · 153 citations - [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/) — Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al. · 2023 · 151 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 - [Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) — Patrick Fernandes, António Farinhas, Ricardo Rei, et al. · 2022 · 143 citations - [Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models](https://md.research.elamur.ai/free/en/papers/bohnet-2022-attributed-question-answering-evaluation-modeling/) — Bernd Bohnet, Vinh Q. 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