| Unbiased learning to rank with unbiased propensity estimation Q Ai, K Bi, C Luo, J Guo, WB Croft The 41st international ACM SIGIR conference on research & development in …, 2018 | 239 | 2018 |
| Learning a deep listwise context model for ranking refinement Q Ai, K Bi, J Guo, WB Croft The 41st international ACM SIGIR conference on research & development in …, 2018 | 238 | 2018 |
| Learning a hierarchical embedding model for personalized product search Q Ai, Y Zhang, K Bi, X Chen, WB Croft Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 150 | 2017 |
| Conversational product search based on negative feedback K Bi, Q Ai, Y Zhang, WB Croft Proceedings of the 28th acm international conference on information and …, 2019 | 77 | 2019 |
| Explainable product search with a dynamic relation embedding model Q Ai, Y Zhang, K Bi, WB Croft ACM Transactions on Information Systems (TOIS) 38 (1), 1-29, 2019 | 61 | 2019 |
| A transformer-based embedding model for personalized product search K Bi, Q Ai, WB Croft Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 53 | 2020 |
| Asking clarifying questions based on negative feedback in conversational search K Bi, Q Ai, WB Croft Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 33 | 2021 |
| Learning a fine-grained review-based transformer model for personalized product search K Bi, Q Ai, WB Croft Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 30 | 2021 |
| AREDSUM: Adaptive redundancy-aware iterative sentence ranking for extractive document summarization K Bi, R Jha, WB Croft, A Celikyilmaz arXiv preprint arXiv:2004.06176, 2020 | 28 | 2020 |
| When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation S Ni, K Bi, J Guo, X Cheng arXiv preprint arXiv:2402.11457, 2024 | 18 | 2024 |
| Extracting search-focused key n-grams for relevance ranking in web search C Wang, K Bi, Y Hu, H Li, G Cao Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 18 | 2012 |
| Leverage implicit feedback for context-aware product search K Bi, CH Teo, Y Dattatreya, V Mohan, WB Croft arXiv preprint arXiv:1909.02065, 2019 | 17 | 2019 |
| Iterative relevance feedback for answer passage retrieval with passage-level semantic match K Bi, Q Ai, WB Croft Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 14 | 2019 |
| A study of context dependencies in multi-page product search K Bi, CH Teo, Y Dattatreya, V Mohan, WB Croft Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| Revisiting iterative relevance feedback for document and passage retrieval K Bi, Q Ai, WB Croft arXiv preprint arXiv:1812.05731, 2018 | 10 | 2018 |
| A comparative study of training objectives for clarification facet generation S Ni, K Bi, J Guo, X Cheng Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Came: Competitively learning a mixture-of-experts model for first-stage retrieval J Guo, Y Cai, K Bi, Y Fan, W Chen, R Zhang, X Cheng ACM Transactions on Information Systems 43 (2), 1-25, 2025 | 6* | 2025 |
| More: Multi-modal retrieval augmented generative commonsense reasoning W Cui, K Bi, J Guo, X Cheng arXiv preprint arXiv:2402.13625, 2024 | 6 | 2024 |
| Pre-training with aspect-content text mutual prediction for multi-aspect dense retrieval X Sun, K Bi, J Guo, X Ma, Y Fan, H Shan, Q Zhang, Z Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? S Ni, K Bi, L Yu, J Guo China Conference on Information Retrieval, 124-135, 2024 | 4 | 2024 |
Jiafeng GuoProfessor, Institute of Computing Techonology, CASПідтверджена електронна адреса в ict.ac.cn