| Is ChatGPT a good translator? A preliminary study W Jiao, W Wang, J Huang, X Wang, Z Tu arXiv preprint arXiv:2301.08745, 2023 | 879* | 2023 |
| 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, 2024 | 294 | 2024 |
| Context-aware self-attention networks B Yang, J Li, DF Wong, LS Chao, X Wang, Z Tu AAAI 2019, 2019 | 129 | 2019 |
| Neural machine translation advised by statistical machine translation X Wang, Z Lu, Z Tu, H Li, D Xiong, M Zhang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 116 | 2017 |
| Exploiting Deep Representations for Neural Machine Translation ZY Dou, Z Tu, X Wang, S Shi, T Zhang EMNLP 2018, 2018 | 95 | 2018 |
| Modeling Recurrence for Transformer J Hao, X Wang, B Yang, L Wang, J Zhang, Z Tu NAACL 2019, 2019 | 92 | 2019 |
| 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 Transactions of the Association for Computational Linguistics, 2024 | 86 | 2024 |
| Self-attention with structural position representations X Wang, Z Tu, L Wang, S Shi EMNLP 2019, 2019 | 81 | 2019 |
| ParroT: Translating during chat using large language models tuned with human translation and feedback W Jiao, J Huang, W Wang, Z He, T Liang, X Wang, S Shi, Z Tu EMNLP 2023, 2023 | 75* | 2023 |
| Translating Phrases in Neural Machine Translation X Wang, Z Tu, D Xiong, M Zhang EMNLP 2017, 2017 | 72 | 2017 |
| On the diversity of multi-head attention J Li, X Wang, Z Tu, MR Lyu Neurocomputing 454, 14-24, 2021 | 69 | 2021 |
| Multi-granularity self-attention for neural machine translation J Hao, X Wang, S Shi, J Zhang, Z Tu EMNLP 2019, 2019 | 67 | 2019 |
| Incorporating statistical machine translation word knowledge into neural machine translation X Wang, Z Tu, M Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (12 …, 2018 | 60 | 2018 |
| Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement ZY Dou, Z Tu, X Wang, L Wang, S Shi, T Zhang AAAI 2019, 2019 | 55 | 2019 |
| Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation W Wang, W Jiao, Y Hao, X Wang, S Shi, Z Tu, M Lyu ACL 2022, 2022 | 48 | 2022 |
| Towards understanding neural machine translation with word importance S He, Z Tu, X Wang, L Wang, MR Lyu, S Shi EMNLP 2019, 2019 | 48 | 2019 |
| Information Aggregation for Multi-Head Attention with Routing-by-Agreement J Li, B Yang, ZY Dou, X Wang, MR Lyu, Z Tu NAACL 2019, 2019 | 47 | 2019 |
| Self-training sampling with monolingual data uncertainty for neural machine translation W Jiao, X Wang, Z Tu, S Shi, MR Lyu, I King ACL 2021, 2021 | 46* | 2021 |
| Topic-based coherence modeling for statistical machine translation D Xiong, M Zhang, X Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 483-493, 2015 | 40 | 2015 |
| How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments J Huang, EJ Li, MH Lam, T Liang, W Wang, Y Yuan, W Jiao, X Wang, Z Tu, ... arXiv preprint arXiv:2403.11807, 2024 | 36 | 2024 |
Zhaopeng TuPrincipal Researcher, Tencent AI Lab確認したメール アドレス: tencent.com