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Large Language Models (LLMs) such as GPT-3 have emerged as general-purpose language models capable of addressing many natural language generation or understanding tasks.
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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Chapter 13. Fingerprints in Translation , pages 201–213. Multilingual Matters, Bristol, Blue Ridge Summit
Martin Gellerstam. 2005 · 2005
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Measuring the cognitive effort of literal translation processes
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chrF: character n-gram F-score for automatic MT evaluation
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Unsupervised quality estimation for neural machine translation
Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, and Lucia Specia. 2020 · 2020
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MAGPIE: A large corpus of potentially idiomatic expressions
Hessel Haagsma, Johan Bos, and Malvina Nissim. 2020 · 2020
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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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Epie dataset: A corpus for possible idiomatic expressions
Prateek Saxena and Soma Paul. 2020 · 2020
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Phrasecut: Language-based image segmentation in the wild
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, and Subhransu Maji. 2020 · 2020
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Proceedings of the Sixth Conference on Machine Translation . Association for Computational Linguistics, Online
Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, and Christof Monz, editors. 2021 · 2021
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Word alignment by fine-tuning embeddings on parallel corpora
Zi-Yi Dou and Graham Neubig. 2021 · 2021
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Controlling machine translation for multiple attributes with additive interventions
On the blind spots of model-based evaluation metrics for text generation
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass, and Yulia Tsvetkov. 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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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al. 2022 · 2022
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Salted: A framework for salient long-tail translation error detection
Vikas Raunak, Matt Post, and Arul Menezes. 2022 · 2022
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Andrea Schioppa, David Vilar, Artem Sokolov, and Katja Filippova. 2021 · 2021
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Facebook AI’s WMT21 news translation task submission
Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, and Angela Fan. 2021 · 2021
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PIE: A parallel idiomatic expression corpus for idiomatic sentence generation and paraphrasing
Jianing Zhou, Hongyu Gong, and Suma Bhat. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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News summarization and evaluation in the era of gpt-3
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. 2022 · 2022
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The paradox of the compositionality of natural language: A neural machine translation case study
Verna Dankers, Elia Bruni, and Dieuwke Hupkes. 2022a
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Can transformer be too compositional? analysing idiom processing in neural machine translation
Verna Dankers, Christopher Lucas, and Ivan Titov. 2022b
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002a
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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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MultiNERD: A multilingual, multi-genre and fine-grained dataset for named entity recognition (and disambiguation)
Simone Tedeschi and Roberto Navigli. 2022 · 2022
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Prompting palm for translation: Assessing strategies and performance
David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, and George Foster. 2022 · 2022
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Eleftheria Briakou, Colin Cherry, and George Foster. 2023 · 2023
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How good are gpt models at machine translation? a comprehensive evaluation
Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, and Hany Hassan Awadalla. 2023 · 2023
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