| 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 | 607 | 2023 |
| Directional skip-gram: Explicitly distinguishing left and right context for word embeddings Y Song, S Shi, J Li, H Zhang Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 424 | 2018 |
| Deep neural solver for math word problems Y Wang, X Liu, S Shi Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 402 | 2017 |
| Is ChatGPT a good translator? Yes with GPT-4 as the engine W Jiao, W Wang, J Huang, X Wang, S Shi, Z Tu arXiv preprint arXiv:2301.08745, 2023 | 234 | 2023 |
| Automatically solving number word problems by semantic parsing and reasoning S Shi, Y Wang, CY Lin, X Liu, Y Rui Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 222 | 2015 |
| Learning to remember translation history with a continuous cache Z Tu, Y Liu, S Shi, T Zhang Transactions of the Association for Computational Linguistics 6, 407-420, 2018 | 201 | 2018 |
| Web object retrieval Z Nie, Y Ma, S Shi, JR Wen, WY Ma Proceedings of the 16th international conference on World Wide Web, 81-90, 2007 | 191 | 2007 |
| 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 arXiv preprint arXiv:2305.19118, 2023 | 178 | 2023 |
| How well do computers solve math word problems? large-scale dataset construction and evaluation D Huang, S Shi, CY Lin, J Yin, WY Ma Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 169 | 2016 |
| SOMO: Self-organized metadata overlay for resource management in P2P DHT Z Zhang, SM Shi, J Zhu Peer-to-Peer Systems II: Second International Workshop, IPTPS 2003, Berkeley …, 2003 | 133 | 2003 |
| Adding dominant media elements to search results MJ Li, S Shi, WY Ma, Z Li US Patent 7,433,895, 2008 | 129 | 2008 |
| Document-level machine translation with large language models L Wang, C Lyu, T Ji, Z Zhang, D Yu, S Shi, Z Tu arXiv preprint arXiv:2304.02210, 2023 | 115 | 2023 |
| Learning fine-grained expressions to solve math word problems D Huang, S Shi, CY Lin, J Yin Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 107 | 2017 |
| Topic-aware neural keyphrase generation for social media language Y Wang, J Li, HP Chan, I King, MR Lyu, S Shi arXiv preprint arXiv:1906.03889, 2019 | 104 | 2019 |
| Making peer-to-peer keyword searching feasible using multi-level partitioning S Shi, G Yang, D Wang, J Yu, S Qu, M Chen Peer-to-Peer Systems III: Third International Workshop, IPTPS 2004, La Jolla …, 2005 | 101 | 2005 |
| Gpt-4 is too smart to be safe: Stealthy chat with llms via cipher Y Yuan, W Jiao, W Wang, J Huang, P He, S Shi, Z Tu arXiv preprint arXiv:2308.06463, 2023 | 98 | 2023 |
| Ensemble semantics for large-scale unsupervised relation extraction B Min, S Shi, R Grishman, CY Lin Proceedings of the 2012 joint conference on empirical methods in natural …, 2012 | 93 | 2012 |
| Exploiting deep representations for neural machine translation ZY Dou, Z Tu, X Wang, S Shi, T Zhang arXiv preprint arXiv:1810.10181, 2018 | 92 | 2018 |
| Overview of NTCIR-9 RITE: Recognizing Inference in TExt. H Shima, H Kanayama, CW Lee, CJ Lin, T Mitamura, Y Miyao, S Shi, ... Ntcir, 2011 | 90 | 2011 |
| Skeleton-to-response: Dialogue generation guided by retrieval memory D Cai, Y Wang, V Bi, Z Tu, X Liu, W Lam, S Shi arXiv preprint arXiv:1809.05296, 2018 | 89 | 2018 |
Zhaopeng TuPrincipal Researcher, Tencent AI LabVerified email at tencent.com
