| Encouraging divergent thinking in large language models through multi-agent debate T Liang, Z He, W Jiao, X Wang, Y Wang, R Wang, Y Yang, Z Tu, S Shi EMNLP, 2024 | 883 | 2024 |
| A survey of domain adaptation for machine translation C Chu, R Wang COLING, 2020 | 393 | 2020 |
| Do not think that much for 2+ 3=? on the overthinking of o1-like llms X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... ICML, 2025 | 373* | 2025 |
| SG-Net: Syntax Guided Transformer for Language Representation Z Zhang, Y Wu, J Zhou, S Duan, H Zhao, R Wang IEEE TPAMI, 2020 | 297* | 2020 |
| Universal multimodal representation for language understanding Z Zhang, K Chen, R Wang, M Utiyama, E Sumita, Z Li, H Zhao IEEE TPAMI, 2023 | 195* | 2023 |
| Exploring Human-Like Translation Strategy with Large Language Models Z He, T Liang, W Jiao, Z Zhang, Y Yang, R Wang, Z Tu, S Shi, X Wang TACL, 2024 | 191 | 2024 |
| Instance weighting for neural machine translation domain adaptation R Wang, M Utiyama, L Liu, K Chen, E Sumita EMNLP, 2017 | 169 | 2017 |
| R-judge: Benchmarking safety risk awareness for llm agents T Yuan, Z He, L Dong, Y Wang, R Zhao, T Xia, L Xu, B Zhou, F Li, Z Zhang, ... EMNLP, 2024 | 166 | 2024 |
| Unifying the perspectives of nlp and software engineering: A survey on language models for code Z Zhang, C Chen, B Liu, C Liao, Z Gong, H Yu, J Li, R Wang TMLR, 2024 | 163* | 2024 |
| Thoughts are all over the place: On the underthinking of o1-like llms Y Wang, Q Liu, J Xu, T Liang, X Chen, Z He, L Song, D Yu, J Li, Z Zhang, ... NeuRIPS (Spotlight), 2025 | 133* | 2025 |
| Sentence embedding for neural machine translation domain adaptation R Wang, A Finch, M Utiyama, E Sumita ACL, 2017 | 123 | 2017 |
| Syntax-directed attention for neural machine translation K Chen, R Wang, M Utiyama, E Sumita, T Zhao AAAI, 2018 | 118 | 2018 |
| Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents Z Zhang, Y Yao, A Zhang, X Tang, X Ma, Z He, Y Wang, M Gerstein, ... ACM Computing Survey, 2023 | 117 | 2023 |
| Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method Y Wang, Z Zhang, R Wang ACL, 2023 | 116 | 2023 |
| Deepmath-103k: A large-scale, challenging, decontaminated, and verifiable mathematical dataset for advancing reasoning Z He, T Liang, J Xu, Q Liu, X Chen, Y Wang, L Song, D Yu, Z Liang, ... arXiv preprint arXiv:2504.11456, 2025 | 111* | 2025 |
| Text compression-aided transformer encoding Z Li, Z Zhang, H Zhao, R Wang, K Chen, M Utiyama, E Sumita IEEE TPAMI, 2021 | 93* | 2021 |
| Machine reading comprehension: The role of contextualized language models and beyond Z Zhang, H Zhao, R Wang arXiv preprint arXiv:2005.06249, 2020 | 80 | 2020 |
| Data-dependent Gaussian Prior Objective for Language Generation Z Li, R Wang, K Chen, M Utiyama, E Sumita, Z Zhang, H Zhao ICLR(Oral), 2020 | 73 | 2020 |
| Neural machine translation with source dependency representation K Chen, R Wang, M Utiyama, L Liu, A Tamura, E Sumita, T Zhao EMNLP, 2017 | 73 | 2017 |
| A neural approach to source dependence based context model for statistical machine translation K Chen, T Zhao, M Yang, L Liu, A Tamura, R Wang, M Utiyama, E Sumita IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (2), 266-280, 2017 | 69 | 2017 |
Masao UtiyamaNICTVerified email at nict.go.jp
