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Large language models (LLMs) exhibit outstanding performance in machine translation via in-context learning.
Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2004
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Using whole document context in neural machine translation
Valentin Macé and Christophe Servan. 2019 · 2019
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The challenges of using neural machine translation for literature
Evgeny Matusov. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Hierarchical modeling of global context for document-level neural machine translation
Xin Tan, Longyin Zhang, Deyi Xiong, and Guodong Zhou. 2019 · 2019
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BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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A simple and effective unified encoder for document-level machine translation
Shuming Ma, Dongdong Zhang, and Ming Zhou. 2020 · 2020
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Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation
Pei Zhang, Boxing Chen, Niyu Ge, and Kai Fan. 2020a · 2020
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Learning contextualized sentence representations for document-level neural machine translation
Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang, and Deyi Xiong. 2020b · 2020
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G-transformer for document-level machine translation
Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, and Weihua Luo. 2021 · 2021
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Beyond english-centric multilingual machine translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, and Armand Joulin. 2021 · 2021
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Encouraging lexical translation consistency for document-level neural machine translation
Xinglin Lyu, Junhui Li, Zhengxian Gong, and Min Zhang. 2021 · 2021
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Coupling context modeling with zero pronoun recovering for document-level natural language generation
Xin Tan, Longyin Zhang, and Guodong Zhou. 2021 · 2021
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Document graph for neural machine translation
Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, and Lidia S. Chao. 2021 · 2021
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Context-interactive pre-training for document machine translation
Pengcheng Yang, Pei Zhang, Boxing Chen, Jun Xie, and Weihua Luo. 2021 · 2021
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No language left behind: Scaling human-centered machine translation
Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loïc Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, and Jeff Wang. 2022 · 2022
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Blonde: An automatic evaluation metric for document-level machine translation
Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, and Ming Zhou. 2022 · 2022
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Codonmt: Modeling cohesion devices for document-level neural machine translation
Yikun Lei, Yuqi Ren, and Deyi Xiong. 2022 · 2022
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Focused concatenation for context-aware neural machine translation
Lorenzo Lupo, Marco Dinarelli, and Laurent Besacier. 2022 · 2022
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A survey on document-level neural machine translation: Methods and evaluation
Sameen Maruf, Fahimeh Saleh, and Gholamreza Haffari. 2022 · 2022
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BLOOM: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, and et al. 2022 · 2022
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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Chain-of-dictionary prompting elicits translation in large language models
Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Haoran Yang, Wai Lam, and Furu Wei. 2023 · 2023
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Adaptive machine translation with large language models
Yasmin Moslem, Rejwanul Haque, John D. Kelleher, and Andy Way. 2023 · 2023
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Large language models can be lazy learners: Analyze shortcuts in in-context learning
Ruixiang Tang, Dehan Kong, Longtao Huang, and Hui Xue. 2023 · 2023
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Language branch gated multilingual neural machine translation
Haoran Sun and Deyi Xiong. 2022 · 2022
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Rethinking document-level neural machine translation
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, and Lei Li. 2022 · 2022
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Towards discourse-aware document-level neural machine translation
Xin Tan, Longyin Zhang, Fang Kong, and Guodong Zhou. 2022 · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. 2022 · 2022
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Guofeng: A benchmark for zero pronoun recovery and translation
Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. 2022 · 2022
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Multilingual document-level translation enables zero-shot transfer from sentences to documents
Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, and Orhan Firat. 2022a · 2022
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Context-adaptive document-level neural machine translation
Linlin Zhang, Zhirui Zhang, Boxing Chen, Weihua Luo, and Luo Si. 2022b · 2022
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Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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Document-level machine translation with large language models
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, and Zhaopeng Tu. 2023a · 2023
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Baichuan 2: Open large-scale language models
Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, and Zhiying Wu. 2023 · 2023
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Prompting large language model for machine translation: A case study
Biao Zhang, Barry Haddow, and Alexandra Birch. 2023a · 2023
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Towards boosting many-to-many multilingual machine translation with large language models
Pengzhi Gao, Zhongjun He, Hua Wu, and Haifeng Wang. 2024 · 2024
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Enhancing document-level translation of large language model via translation mixed-instructions
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Recent advances in natural language processing via large pre-trained language models: A survey
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Saurav Pawar, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Vinija Jain, Aman Chadha, and Amitava Das. 2024 · 2024
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Adapting large language models for document-level machine translation
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, and Gholamreza Haffari. 2024 · 2024
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Flightllm: Efficient large language model inference with a complete mapping flow on fpgas
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Towards robust in-context learning for machine translation with large language models
Shaolin Zhu, Menglong Cui, and Deyi Xiong. 2024 · 2024
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