| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 442* | 2017 |
| Learning to generate pseudo-code from source code using statistical machine translation Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 355 | 2015 |
| Overview of the 8th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 8th Workshop on Asian Translation (WAT2021), 1-45, 2021 | 167 | 2021 |
| Optimizing segmentation strategies for simultaneous speech translation Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 85 | 2014 |
| Syntax-based simultaneous translation through prediction of unseen syntactic constituents Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 42 | 2015 |
| An empirical study of mini-batch creation strategies for neural machine translation M Morishita, Y Oda, G Neubig, K Yoshino, K Sudoh, S Nakamura arXiv preprint arXiv:1706.05765, 2017 | 39 | 2017 |
| Overview of the 10th Workshop on Asian Translation T Nakazawa, K Kinugawa, H Mino, I Goto, R Dabre, S Higashiyama, ... Proceedings of the 10th Workshop on Asian Translation, 1-28, 2023 | 31 | 2023 |
| Findings of the third workshop on neural generation and translation H Hayashi, Y Oda, A Birch, I Konstas, A Finch, MT Luong, G Neubig, ... arXiv preprint arXiv:1910.13299, 2019 | 30 | 2019 |
| Ckylark: A more robust PCFG-LA parser Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 29 | 2015 |
| Are prompt-based models clueless? P Kavumba, R Takahashi, Y Oda Journal of Natural Language Processing 29 (3), 991-996, 2022 | 20 | 2022 |
| Findings of the fourth workshop on neural generation and translation K Heafield, H Hayashi, Y Oda, A Finch, G Neubig, X Li, A Birch The 4th Workshop on Neural Generation and Translation, 1-9, 2020 | 17 | 2020 |
| Neural machine translation via binary code prediction Y Oda, P Arthur, G Neubig, K Yoshino, S Nakamura arXiv preprint arXiv:1704.06918, 2017 | 17 | 2017 |
| Pseudogen: A tool to automatically generate pseudo-code from source code H Fudaba, Y Oda, K Akabe, G Neubig, H Hata, S Sakti, T Toda, ... 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 16 | 2015 |
| Exploring the robustness of large language models for solving programming problems A Shirafuji, Y Watanobe, T Ito, M Morishita, Y Nakamura, Y Oda, J Suzuki arXiv preprint arXiv:2306.14583, 2023 | 14 | 2023 |
| Findings of the second workshop on neural machine translation and generation A Birch, A Finch, MT Luong, G Neubig, Y Oda arXiv preprint arXiv:1806.02940, 2018 | 14 | 2018 |
| The naist-ntt ted talk treebank G Neubig, K Sudoh, Y Oda, K Duh, H Tsukuda, M Nagata Proceedings of the 11th International Workshop on Spoken Language …, 2014 | 13 | 2014 |
| A simple and strong baseline: NAIST-NICT neural machine translation system for WAT2017 English-Japanese translation task Y Oda, K Sudoh, S Nakamura, M Utiyama, E Sumita Proceedings of the 4th Workshop on Asian Translation (WAT2017), 135-139, 2017 | 9 | 2017 |
| Refactoring programs using large language models with few-shot examples A Shirafuji, Y Oda, J Suzuki, M Morishita, Y Watanobe 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 151-160, 2023 | 7 | 2023 |
| Prompt sensitivity of language model for solving programming problems A Shirafuji, T Ito, M Morishita, Y Nakamura, Y Oda, J Suzuki, Y Watanobe New Trends in Intelligent Software Methodologies, Tools and Techniques, 346-359, 2022 | 5 | 2022 |
| Phrase-based Machine Translation using Multiple Preordering Candidates Y Oda, T Kudo, T Nakagawa, T Watanabe | 4 | 2016 |
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
