| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1042 | 2023 |
| Extracting query facets from search results W Kong, J Allan Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 90 | 2013 |
| Extending faceted search to the general web W Kong, J Allan Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 66 | 2014 |
| Identifying web spam with the wisdom of the crowds Y Liu, F Chen, W Kong, H Yu, M Zhang, S Ma, L Ru ACM Transactions on the Web (TWEB) 6 (1), 1-30, 2012 | 64 | 2012 |
| Predicting search intent based on pre-search context W Kong, R Li, J Luo, A Zhang, Y Chang, J Allan Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 55 | 2015 |
| Natural language understanding with privacy-preserving bert C Qu, W Kong, L Yang, M Zhang, M Bendersky, M Najork Proceedings of the 30th ACM International Conference on Information …, 2021 | 47 | 2021 |
| adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback A Zhang, A Goyal, W Kong, H Deng, A Dong, Y Chang, CA Gunter, J Han | 31 | 2015 |
| Multi-aspect dense retrieval W Kong, S Khadanga, C Li, SK Gupta, M Zhang, W Xu, M Bendersky Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 25 | 2022 |
| Precision-oriented query facet extraction W Kong, J Allan Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 21 | 2016 |
| Answer quality analysis on community question answering W Kong, Y Liu, M Zhang, S MA Journal of Chinese Information Processing 25 (1), 3-8, 2011 | 14 | 2011 |
| Extending faceted search to the open-domain web W Kong | 12 | 2016 |
| Sparseembed: Learning sparse lexical representations with contextual embeddings for retrieval W Kong, JM Dudek, C Li, M Zhang, M Bendersky Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Learning to cluster documents into workspaces using large scale activity logs W Kong, M Bendersky, M Najork, B Vargo, M Colagrosso Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 5 | 2020 |
| Learning to Rewrite Prompts for Personalized Text Generation C Li, M Zhang, Q Mei, W Kong, M Bendersky Proceedings of the ACM on Web Conference 2024, 3367-3378, 2024 | 3 | 2024 |
| Privacy-adaptive bert for natural language understanding C Qu, W Kong, L Yang, M Zhang, M Bendersky, M Najork arXiv preprint arXiv:2104.07504 190, 2021 | 3 | 2021 |
| Detecting epidemic tendency by mining search logs W Kong, Y Liu, S Ma, L Ru Proceedings of the 19th international conference on World wide web, 1133-1134, 2010 | 3 | 2010 |
| Improving passage ranking with user behavior information W Kong, E Aktolga, J Allan Proceedings of the 22nd ACM international conference on Information …, 2013 | 2 | 2013 |
| PRewrite: Prompt Rewriting with Reinforcement Learning W Kong, SA Hombaiah, M Zhang, Q Mei, M Bendersky arXiv preprint arXiv:2401.08189, 2024 | 1 | 2024 |
| Bridging the preference gap between retrievers and llms Z Ke, W Kong, C Li, M Zhang, Q Mei, M Bendersky arXiv preprint arXiv:2401.06954, 2024 | 1 | 2024 |
| Automatic Prompt Rewriting for Personalized Text Generation C Li, M Zhang, Q Mei, W Kong, M Bendersky arXiv preprint arXiv:2310.00152, 2023 | 1 | 2023 |
Michael BenderskyGoogle DeepMindVerified email at google.com
