Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task

From softmax to sparsemax: A sparse model of attention and multi-label classification

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Deep contextualized word representations

Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018

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Quality estimation for machine translation

Lucia Specia, Carolina Scarton, and Gustavo Henrique Paetzold. 2018 · 2018

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Optuna: A next-generation hyperparameter optimization framework

Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama. 2019 · 2019

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Unsupervised cross-lingual representation learning at scale

Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020

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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

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CometKiwi: IST-unbabel 2022 submission for the quality estimation shared task

Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, Chrysoula Zerva, Ana C Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte Alves, Luisa Coheur, Alon Lavie, and André F. T. Martins. 2022b · 2022

Cited alongside, same era.

Searching for COMETINHO: The little metric that could

Ricardo Rei, Ana C Farinha, José G.C. de Souza, Pedro G. Ramos, André F.T. Martins, Luisa Coheur, and Alon Lavie. 2022a

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UniTE: Unified translation evaluation

Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek Wong, and Lidia Chao. 2022 · 2022

Later among the works it cites.

The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation

Original

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, J. Clark, Markus Freitag, and Orhan Firat. 2023 · 2023

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Gpt-4 technical report

Original

OpenAI. 2023 · 2023

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