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The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL).
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Simple, scalable adaptation for neural machine translation
Ankur Bapna, Naveen Arivazhagan, and Orhan Firat. 2019 · 1909
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BLEU: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
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Multilingual Marketing Content: Growing International Business with Global Content Value Chains
Vince Emery, Karl Kadie, and Mary Laplante. 2011 · 2011
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A call for clarity in reporting BLEU scores
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Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
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Neural fuzzy repair: Integrating fuzzy matches into neural machine translation
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Nemo: a toolkit for building ai applications using neural modules
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Roee Aharoni and Yoav Goldberg. 2020 · 2020
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Yu A Malkov and Dmitry A Yashunin. 2020 · 2020
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Priming neural machine translation
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Automatic correction of human translations
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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
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Investigating the translation performance of a large multilingual language model: the case of BLOOM
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The unreasonable effectiveness of few-shot learning for machine translation
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How good are GPT models at machine translation? A comprehensive evaluation
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Findings of the 2022 conference on machine translation (WMT22)
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