| Leveraging passage-level cumulative gain for document ranking Z Wu, J Mao, Y Liu, J Zhan, Y Zheng, M Zhang, S Ma Proceedings of the web conference 2020, 2421-2431, 2020 | 49 | 2020 |
| Unsupervised real-time hallucination detection based on the internal states of large language models W Su, C Wang, Q Ai, Y Hu, Z Wu, Y Zhou, Y Liu arXiv preprint arXiv:2403.06448, 2024 | 43 | 2024 |
| Investigating examination behavior of image search users X Xie, Y Liu, X Wang, M Wang, Z Wu, Y Wu, M Zhang, S Ma Proceedings of the 40th international acm sigir conference on research and …, 2017 | 43 | 2017 |
| T2ranking: A large-scale chinese benchmark for passage ranking X Xie, Q Dong, B Wang, F Lv, T Yao, W Gan, Z Wu, X Li, H Li, Y Liu, J Ma Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 41 | 2023 |
| Dragin: Dynamic retrieval augmented generation based on the real-time information needs of large language models W Su, Y Tang, Q Ai, Z Wu, Y Liu arXiv preprint arXiv:2403.10081, 2024 | 39 | 2024 |
| Investigating passage-level relevance and its role in document-level relevance judgment Z Wu, J Mao, Y Liu, M Zhang, S Ma Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 35 | 2019 |
| The influence of image search intents on user behavior and satisfaction Z Wu, Y Liu, Q Zhang, K Wu, M Zhang, S Ma Proceedings of the twelfth ACM international conference on web search and …, 2019 | 32 | 2019 |
| Providing direct answers in search results: A study of user behavior Z Wu, M Sanderson, BB Cambazoglu, WB Croft, F Scholer Proceedings of the 29th acm international conference on information …, 2020 | 30 | 2020 |
| A multi-turn machine reading comprehension framework with rethink mechanism for emotion-cause pair extraction C Zhou, D Song, J Xu, Z Wu Proceedings of the 29th International Conference on Computational …, 2022 | 20 | 2022 |
| BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models H Li, Q Ai, J Chen, Q Dong, Z Wu, Y Liu, C Chen, Q Tian arXiv preprint arXiv:2403.18365, 2024 | 12 | 2024 |
| Unsupervised large language model alignment for information retrieval via contrastive feedback Q Dong, Y Liu, Q Ai, Z Wu, H Li, Y Liu, S Wang, D Yin, S Ma Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 11* | 2024 |
| A cooperative neural information retrieval pipeline with knowledge enhanced automatic query reformulation X Li, J Mao, W Ma, Z Wu, Y Liu, M Zhang, S Ma, Z Wang, X He Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 11 | 2022 |
| Mitigating entity-level hallucination in large language models W Su, Y Tang, Q Ai, C Wang, Z Wu, Y Liu Proceedings of the 2024 Annual International ACM SIGIR Conference on …, 2024 | 9 | 2024 |
| Does diversity affect user satisfaction in image search Z Wu, K Zhou, Y Liu, M Zhang, S Ma ACM Transactions on Information Systems (TOIS) 37 (3), 1-30, 2019 | 9 | 2019 |
| Boosting legal case retrieval by query content selection with large language models Y Zhou, H Huang, Z Wu Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 8 | 2023 |
| A study of user image search behavior based on log analysis Z Wu, X Xie, Y Liu, M Zhang, S Ma China Conference on Information Retrieval, 69-80, 2017 | 8 | 2017 |
| Entity alignment for temporal knowledge graphs via adaptive graph networks J Li, D Song, H Wang, Z Wu, C Zhou, Y Zhou Knowledge-Based Systems 274, 110631, 2023 | 7 | 2023 |
| Investigating reading behavior in fine-grained relevance judgment Z Wu, J Mao, Y Liu, M Zhang, S Ma Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 5 | 2020 |
| A semantically driven hybrid network for unsupervised entity alignment J Li, D Song, Z Wu ACM Transactions on Intelligent Systems and Technology 14 (2), 1-21, 2023 | 4 | 2023 |
| A Passage-Level Reading Behavior Model for Mobile Search Z Wu, J Mao, K Xu, D Song, H Huang Proceedings of the ACM Web Conference 2023, 3236-3246, 2023 | 3 | 2023 |
Min ZhangProfessor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证