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Minimum Bayes Risk (MBR) decoding is a text generation technique that has been shown to improve the quality of machine translations, but is expensive, even if a sampling-based approximation is used.
Art of computer programming, Volume 2: Seminumerical algorithms , 3rd edition
Donald E Knuth. 1997 · 1997
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Minimum Bayes-risk decoding for statistical machine translation
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Direct preference optimization for neural machine translation with minimum bayes risk decoding
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Attention is all you need
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov. 2019 · 2019
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COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
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BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
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Findings of the 2021 conference on machine translation (WMT21)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, and Marcos Zampieri. 2021 · 2021
COMET-22: Unbabel-IST 2022 submission for the metrics shared task
Ricardo Rei, José G. C. de Souza, Duarte Alves, Chrysoula Zerva, Ana C Farinha, Taisiya Glushkova, Alon Lavie, Luisa Coheur, and André F. T. Martins. 2022a · 2022
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Accelerating large language model decoding with speculative sampling
Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, and John Jumper. 2023 · 2023
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Faster minimum Bayes risk decoding with confidence-based pruning
Julius Cheng and Andreas Vlachos. 2023 · 2023
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An empirical study of translation hypothesis ensembling with large language models
António Farinhas, José de Souza, and Andre Martins. 2023 · 2023
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MBR and QE finetuning: Training-time distillation of the best and most expensive decoding methods
Mara Finkelstein, Subhajit Naskar, Mehdi Mirzazadeh, Apurva Shah, and Markus Freitag. 2023 · 2023
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Identifying weaknesses in machine translation metrics through minimum Bayes risk decoding: A case study for COMET
Chantal Amrhein and Rico Sennrich. 2022 · 2022
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Sampling-based approximations to minimum Bayes risk decoding for neural machine translation
Bryan Eikema and Wilker Aziz. 2022 · 2022
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Quality-aware decoding for neural machine translation
Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, and Andre Martins. 2022 · 2022
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High quality rather than high model probability: Minimum Bayes risk decoding with neural metrics
Markus Freitag, David Grangier, Qijun Tan, and Bowen Liang. 2022 · 2022
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Truncation sampling as language model desmoothing
John Hewitt, Christopher Manning, and Percy Liang. 2022 · 2022
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Findings of the 2022 conference on machine translation (WMT22)
Tom Kocmi, Rachel Bawden, Ondřej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, and Maja Popović. 2022 · 2022
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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. 2022b
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Epsilon sampling rocks: Investigating sampling strategies for minimum Bayes risk decoding for machine translation
Markus Freitag, Behrooz Ghorbani, and Patrick Fernandes. 2023 · 2023
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xcomet: Transparent machine translation evaluation through fine-grained error detection
Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, Luisa Coheur, Pierre Colombo, and André F. T. Martins. 2023 · 2023
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Fast inference from transformers via speculative decoding
Yaniv Leviathan, Matan Kalman, and Yossi Matias. 2023 · 2023
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Centroid-based efficient minimum bayes risk decoding
Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Hideki Tanaka, and Masao Utiyama. 2024 · 2024
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Hyperparameter-free approach for faster minimum bayes risk decoding
Yuu Jinnai and Kaito Ariu. 2024 · 2024
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