| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2513 | 2023 |
| 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 | 120 | 2020 |
| 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 | 115 | 2019 |
| Situational context for ranking in personal search H Zamani, M Bendersky, X Wang, M Zhang Proceedings of the 26th International Conference on World Wide Web, 1531-1540, 2017 | 74 | 2017 |
| 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 | 71 | 2021 |
| Performance comparison of flat and cluster-based hierarchical ad hoc routing with entity and group mobility M Zhang, PHJ Chong 2009 IEEE Wireless Communications and Networking Conference, 1-6, 2009 | 67 | 2009 |
| 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 | 50 | 2020 |
| Dynamic language models for continuously evolving content S Amba Hombaiah, T Chen, M Zhang, M Bendersky, M Najork Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 48 | 2021 |
| Out-of-domain semantics to the rescue! zero-shot hybrid retrieval models T Chen, M Zhang, J Lu, M Bendersky, M Najork European Conference on Information Retrieval, 95-110, 2022 | 45 | 2022 |
| A review of group mobility models for mobile ad hoc networks CY Aung, BC Seet, M Zhang, LF Xie, PHJ Chong Wireless Personal Communications 85, 1317-1331, 2015 | 43 | 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 | 37 | 2022 |
| Versatile publishing for privacy preservation X Jin, M Zhang, N Zhang, G Das Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 36 | 2010 |
| Performance of efficient CBRP in mobile ad hoc networks (MANETS) YY Jane, PHJ Chong, M Zhang 2008 IEEE 68th vehicular technology conference, 1-7, 2008 | 35 | 2008 |
| Mining a search engine's corpus: efficient yet unbiased sampling and aggregate estimation M Zhang, N Zhang, G Das Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 33 | 2011 |
| 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 | 30 | 2023 |
| 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 | 24 | 2019 |
| Automated evaluation of personalized text generation using large language models Y Wang, J Jiang, M Zhang, C Li, Y Liang, Q Mei, M Bendersky arXiv preprint arXiv:2310.11593, 2023 | 17 | 2023 |
| Lampret: Layout-aware multimodal pretraining for document understanding TL Wu, C Li, M Zhang, T Chen, SA Hombaiah, M Bendersky arXiv preprint arXiv:2104.08405, 2021 | 17 | 2021 |
| Retrieval augmented generation or long-context llms? a comprehensive study and hybrid approach Z Li, C Li, M Zhang, Q Mei, M Bendersky Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 16 | 2024 |
| Mining a search engine's corpus without a query pool M Zhang, N Zhang, G Das Proceedings of the 22nd ACM international conference on Information …, 2013 | 16 | 2013 |
Michael BenderskyGoogle DeepMind確認したメール アドレス: google.com