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Minimum Bayes risk (MBR) decoding outputs the hypothesis with the highest expected utility over the model distribution for some utility function.
Mathematical Statistics: Basic Ideas and Selected Topics
P. J. Bickel and K. A. Doksum. 1977 · 1977
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Bootstrap Methods: Another Look at the Jackknife
B. Efron. 1979 · 1979
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Minimum bayes-risk automatic speech recognition
Vaibhava Goel and William J Byrne. 2000 · 2000
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Statistical significance tests for machine translation evaluation
Philipp Koehn. 2004 · 2004
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Mean Reciprocal Rank , pages 1703–1703. Springer US, Boston, MA
Nick Craswell. 2009 · 2009
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chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Cited alongside, same era.
Is MAP decoding all you need? the inadequacy of the mode in neural machine translation
Bryan Eikema and Wilker Aziz. 2020 · 2020
Cited alongside, same era.
COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
Cited alongside, same era.
Results of the WMT21 metrics shared task: Evaluating metrics with expert-based human evaluations on TED and news domain
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George Foster, Alon Lavie, and Ondřej Bojar. 2021 · 2021
Cited alongside, same era.
Sampling-based approximations to minimum Bayes risk decoding for neural machine translation
Truncation sampling as language model desmoothing
John Hewitt, Christopher Manning, and Percy Liang. 2022 · 2022
Later among the works it cites.
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. 2022 · 2022
Later among the works it cites.
Natural language to code translation with execution
Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, and Sida I. Wang. 2022 · 2022
Later among the works it cites.
Dc-mbr: Distributional cooling for minimum bayesian risk decoding
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, and Yue Zhang. 2022 · 2022
Later among the works it cites.
It’s mbr all the way down: Modern generation techniques through the lens of minimum bayes risk
Amanda Bertsch, Alex Xie, Graham Neubig, and Matthew R. Gormley. 2023 · 2023
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Bryan Eikema and Wilker Aziz. 2022 · 2022
Cited alongside, same era.
Quality-aware decoding for neural machine translation
Patrick Fernandes, António Farinhas, Ricardo Rei, José De Souza, Perez Ogayo, Graham Neubig, and Andre Martins. 2022 · 2022
Cited alongside, same era.
High quality rather than high model probability: Minimum Bayes risk decoding with neural metrics
Markus Freitag, David Grangier, Qijun Tan, and Bowen Liang. 2022a
Cited in the paper.
Results of WMT22 metrics shared task: Stop using BLEU – neural metrics are better and more robust
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George Foster, Alon Lavie, and André F. T. Martins. 2022b
Cited in the paper.
Markus Freitag, Behrooz Ghorbani, and Patrick Fernandes. 2023 · 2023
Closest in time.
Follow the wisdom of the crowd: Effective text generation via minimum Bayes risk decoding
Mirac Suzgun, Luke Melas-Kyriazi, and Dan Jurafsky. 2023 · 2023
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