| 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 | 1583 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 395 | 2024 |
| Deepcas: An end-to-end predictor of information cascades C Li, J Ma, X Guo, Q Mei Proceedings of the 26th international conference on World Wide Web, 577-586, 2017 | 363 | 2017 |
| The lambdaloss framework for ranking metric optimization X Wang, C Li, N Golbandi, M Bendersky, M Najork Proceedings of the 27th ACM international conference on information and …, 2018 | 162 | 2018 |
| Tf-ranking: Scalable tensorflow library for learning-to-rank RK Pasumarthi, S Bruch, X Wang, C Li, M Bendersky, M Najork, J Pfeifer, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 158 | 2019 |
| Estimating position bias without intrusive interventions A Agarwal, I Zaitsev, X Wang, C Li, M Najork, T Joachims Proceedings of the twelfth ACM international conference on web search and …, 2019 | 158 | 2019 |
| Click-through prediction for advertising in twitter timeline C Li, Y Lu, Q Mei, D Wang, S Pandey Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 144 | 2015 |
| Semantic text matching for long-form documents JY Jiang, M Zhang, C Li, M Bendersky, N Golbandi, M Najork The world wide web conference, 795-806, 2019 | 107 | 2019 |
| Beyond 512 tokens: Siamese multi-depth transformer-based hierarchical encoder for long-form document matching L Yang, M Zhang, C Li, M Bendersky, M Najork Proceedings of the 29th ACM International Conference on Information …, 2020 | 106 | 2020 |
| Addressing trust bias for unbiased learning-to-rank A Agarwal, X Wang, C Li, M Bendersky, M Najork The World Wide Web Conference, 4-14, 2019 | 100 | 2019 |
| Deep memory networks for attitude identification C Li, X Guo, Q Mei Proceedings of the tenth ACM international conference on web search and data …, 2017 | 88 | 2017 |
| Req-rec: High recall retrieval with query pooling and interactive classification C Li, Y Wang, P Resnick, Q Mei Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 56 | 2014 |
| When a friend in twitter is a friend in life W Xie, C Li, F Zhu, EP Lim, X Gong Proceedings of the 4th Annual ACM Web Science Conference, 344-347, 2012 | 43 | 2012 |
| Leveraging semantic and lexical matching to improve the recall of document retrieval systems: A hybrid approach S Kuzi, M Zhang, C Li, M Bendersky, M Najork arXiv preprint arXiv:2010.01195, 2020 | 40 | 2020 |
| 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 | 28 | 2022 |
| Spurthi Amba Hombaiah, Yi Liang, and Michael Bendersky. 2023. Teach LLMs to Personalize–An Approach inspired by Writing Education C Li, M Zhang, Q Mei, Y Wang arXiv preprint arXiv:2308.07968, 2023 | 23 | 2023 |
| Multiple queries as bandit arms C Li, P Resnick, Q Mei Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 23 | 2016 |
| Multi-view embedding-based synonyms for email search C Li, M Zhang, M Bendersky, H Deng, D Metzler, M Najork Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 22 | 2019 |
| Joint Modeling of Text and Networks for Cascade Prediction C Li, X Guo, Q Mei ICWSM, 640-643, 2018 | 22 | 2018 |
| Deepgraph: Graph structure predicts network growth C Li, X Guo, Q Mei arXiv preprint arXiv:1610.06251, 2016 | 21 | 2016 |
Michael BenderskyGoogle DeepMindVerified email at google.com
