| Siren's song in the AI ocean: a survey on hallucination in large language models Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ... arXiv preprint arXiv:2309.01219, 2023 | 981 | 2023 |
| Exploiting Cross-Sentence Context for Neural Machine Translation QL Longyue Wang, Zhaopeng Tu, Andy Way Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 240* | 2017 |
| Document-Level Machine Translation with Large Language Models ZT Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 175* | 2023 |
| Macaw-llm: Multi-modal language modeling with image, audio, video, and text integration C Lyu, M Wu, L Wang, X Huang, B Liu, Z Du, S Shi, Z Tu arXiv preprint arXiv:2306.09093, 2023 | 161 | 2023 |
| Convolutional Self-Attention Networks ZT Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 151* | 2019 |
| UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation. L Tian, DF Wong, LS Chao, P Quaresma, F Oliveira, L Yi, S Li, Y Wang, ... LREC, 1837-1842, 2014 | 140 | 2014 |
| Understanding and Improving Lexical Choice in Non-Autoregressive Translation ZT Liang Ding, Longyue Wang, Xuebo Liu, Derek F Wong, Dacheng Tao ICLR 2021, 2021 | 119* | 2021 |
| Modeling recurrence for transformer J Hao, X Wang, B Yang, L Wang, J Zhang, Z Tu arXiv preprint arXiv:1904.03092, 2019 | 92 | 2019 |
| Self-attention with structural position representations X Wang, Z Tu, L Wang, S Shi arXiv preprint arXiv:1909.00383, 2019 | 81 | 2019 |
| Self-attention with cross-lingual position representation L Ding, L Wang, D Tao arXiv preprint arXiv:2004.13310, 2020 | 74 | 2020 |
| New trends in machine translation using large language models: Case examples with chatgpt C Lyu, J Xu, L Wang arXiv preprint arXiv:2305.01181, 2023 | 70 | 2023 |
| Context-aware cross-attention for non-autoregressive translation L Ding, L Wang, D Wu, D Tao, Z Tu arXiv preprint arXiv:2011.00770, 2020 | 69 | 2020 |
| Rejuvenating low-frequency words: Making the most of parallel data in non-autoregressive translation L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu arXiv preprint arXiv:2106.00903, 2021 | 64 | 2021 |
| Redistributing low-frequency words: Making the most of monolingual data in non-autoregressive translation L Ding, L Wang, S Shi, D Tao, Z Tu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 60 | 2022 |
| Dynamic layer aggregation for neural machine translation with routing-by-agreement ZY Dou, Z Tu, X Wang, L Wang, S Shi, T Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 86-93, 2019 | 55 | 2019 |
| Progressive multi-granularity training for non-autoregressive translation L Ding, L Wang, X Liu, DF Wong, D Tao, Z Tu arXiv preprint arXiv:2106.05546, 2021 | 52 | 2021 |
| Context-aware self-attention networks for natural language processing B Yang, L Wang, DF Wong, S Shi, Z Tu Neurocomputing 458, 157-169, 2021 | 50 | 2021 |
| Translating pro-drop languages with reconstruction models L Wang, Z Tu, S Shi, T Zhang, Y Graham, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 50 | 2018 |
| Deepfake text detection in the wild Y Li, Q Li, L Cui, W Bi, L Wang, L Yang, S Shi, Y Zhang arXiv preprint arXiv:2305.13242, 2023 | 49 | 2023 |
| Towards understanding neural machine translation with word importance S He, Z Tu, X Wang, L Wang, MR Lyu, S Shi arXiv preprint arXiv:1909.00326, 2019 | 48 | 2019 |
Zhaopeng TuPrincipal Researcher, Tencent AI LabVerifierad e-postadress på tencent.com