| 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 | 500 | 2023 |
| Neural Machine Translation with Supervised Attention L Liu, M Utiyama, A Finch, E Sumita Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 184 | 2016 |
| Instance weighting for neural machine translation domain adaptation R Wang, M Utiyama, L Liu, K Chen, E Sumita Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 154 | 2017 |
| Agreement on target-bidirectional neural machine translation L Liu, M Utiyama, A Finch, E Sumita Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 136 | 2016 |
| A survey on retrieval-augmented text generation H Li, Y Su, D Cai, Y Wang, L Liu. arXiv preprint arXiv:2202.01110, 2022 | 115* | 2022 |
| On the Word Alignment from Neural Machine Translation X Li, G Li, L Liu, M Meng, S Shi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 86 | 2019 |
| Neural Machine Translation with Monolingual Translation Memory D Cai, Y Wang, H Li, W Lam, L Liu ACL-IJCNLP 2021 (Outstanding Paper), 2021 | 85 | 2021 |
| Empirical analysis of unlabeled entity problem in named entity recognition Y Li, L Liu, S Shi ICLR, 2021 | 74 | 2021 |
| Neural Machine Translation with Source Dependency Representation K Chen, R Wang, M Utiyama, L Liu, A Tamura, E Sumita, T Zhao Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 69 | 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 | 68 | 2017 |
| Recent advances in retrieval-augmented text generation D Cai, Y Wang, L Liu, S Shi Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 50 | 2022 |
| Fast and accurate neural machine translation with translation memory Q He, G Huang, Q Cui, L Li, L Liu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 49 | 2021 |
| Sentence selection and weighting for neural machine translation domain adaptation R Wang, M Utiyama, A Finch, L Liu, K Chen, E Sumita IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018 | 49 | 2018 |
| Graph based Translation Memory for Neural Machine Translation M Xia, G Huang, L Liu, S Shi AAAI, 2019 | 48 | 2019 |
| Target-Bidirectional Neural Models for Machine Transliteration A Finch, L Liu, X Wang, E Sumita ACL NEWS Workshop 2016, 78, 2016 | 43 | 2016 |
| Additive neural networks for statistical machine translation L Liu, T Watanabe, E Sumita, T Zhao Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 41 | 2013 |
| Agreement on target-bidirectional lstms for sequence-to-sequence learning L Liu, A Finch, M Utiyama, E Sumita Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 40 | 2016 |
| Neural network transduction models in transliteration generation A Finch, L Liu, X Wang, E Sumita Proceedings of the Fifth Named Entity Workshop, 61-66, 2015 | 35 | 2015 |
| Fairness-guided Few-shot Prompting for Large Language Models H Ma, C Zhang, Y Bian, L Liu, Z Zhang, P Zhao, S Zhang, H Fu, Q Hu, ... NeurIPS 2023, 2023 | 34 | 2023 |
| On the Evaluation Metrics for Paraphrase Generation L Shen, L Liu, H Jiang, S Shi EMNLP 2022, 2022 | 34 | 2022 |
Shuming ShiTencent AI LabVerified email at tencent.com
