--- title: "Who cites METEOR: An Automatic Metric for MT Evaluation…" description: "2025 papers of the Elamur Research library cite «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments», found in…" canonical: "https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [METEOR: An Automatic Metric for MT Evaluation…](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/) / cited by # Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» 2025 papers of our library cite it (of the 140884 whose bibliographies we read) · 99 with a page here, the most cited first · page 1 of 4 · [← the paper](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/) **1** [2](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/2/) - [A Study of Translation Edit Rate with Targeted Human Annotation](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/) — Matthew Snover, Bonnie Dorr, Rich Schwartz, et al. · 2006 · 3 824 citations - [Self-critical Sequence Training for Image Captioning](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/) — Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al. · 2016 · 2 367 citations - [CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) — Jack Hessel, Ari Holtzman, Maxwell Forbes, et al. · 2021 · 1 498 citations - [MS MARCO: A Human Generated MAchine Reading COmprehension Dataset](https://md.research.elamur.ai/free/en/papers/bajaj-2016-ms-marco-human-generated/) — Payal Bajaj, Daniel Campos, Nick Craswell, et al. · 2016 · 1 103 citations - [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/) — Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al. · 2023 · 866 citations - [CIDEr: Consensus-based Image Description Evaluation](https://md.research.elamur.ai/free/en/papers/vedantam-2014-cider-consensus-based-image-description/) — Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh · 2014 · 733 citations - [Style Transfer in Text: Exploration and Evaluation](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/) — Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al. · 2017 · 701 citations - [Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) — Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al. · 2018 · 617 citations - [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) — Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al. · 2019 · 555 citations - [Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems](https://md.research.elamur.ai/free/en/papers/denkowski-2011-meteor-1-3-automatic-metric/) — Michael Denkowski, Alon Lavie · 2011 · 541 citations - [A Structured Review of the Validity of BLEU](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/) — Ehud Reiter · 2018 · 538 citations - [Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/) — Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al. · 2019 · 536 citations - [A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/) — Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al. · 2022 · 490 citations - [Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/) — Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al. · 2017 · 486 citations - [Findings of the 2015 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/) — Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al. · 2015 · 461 citations - [OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework](https://md.research.elamur.ai/free/en/papers/wang-2022-ofa-unifying-architectures-tasks-modalities/) — Peng Wang, An Yang, Rui Men, et al. · 2022 · 452 citations - [UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/) — Hangbo Bao, Li Dong, Furu Wei, et al. · 2020 · 380 citations - [A Survey on Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/) — Juyong Jiang, Fan Wang, Jiasi Shen, et al. · 2024 · 366 citations - [Augmented Language Models: a Survey](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/) — Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al. · 2023 · 362 citations - [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/) — Chi-Min Chan, Weize Chen, Yusheng Su, et al. · 2023 · 351 citations - [Paraphrasing for Automatic Evaluation](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/) — David Kauchak, Regina Barzilay · 2006 · 321 citations - [GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) — Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al. · 2021 · 317 citations - [A Neural Network Approach to Context-Sensitive Generation of Conversational Responses](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/) — Alessandro Sordoni, Michel Galley, Michael Auli, et al. · 2015 · 307 citations - [Abductive Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/) — Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al. · 2019 · 301 citations - [A Benchmark Dataset for Learning to Intervene in Online Hate Speech](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/) — Jing Qian, Anna Bethke, Yinyin Liu, et al. · 2019 · 290 citations **1** [2](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/2/)