| Search engines: Information retrieval in practice WB Croft, D Metzler, T Strohman Addison-Wesley 520, 131-141, 2010 | 1979 | 2010 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... Transactions on Machine Learning Research, 2022 | 1728 | 2022 |
| A markov random field model for term dependencies D Metzler, WB Croft Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 1124 | 2005 |
| Efficient Transformers: A Survey Y Tay, M Dehghani, D Metzler ACM Computing Surveys, 2022 | 1066 | 2022 |
| Expected reciprocal rank for graded relevance O Chapelle, D Metzler, Y Zhang, P Grinspan Proceeding of the 18th ACM conference on Information and knowledge …, 2009 | 988 | 2009 |
| Indri: A language model-based search engine for complex queries T Strohman, D Metzler, H Turtle, WB Croft Proceedings of the international conference on intelligent analysis 2 (6), 2-6, 2005 | 796* | 2005 |
| Long range arena: A benchmark for efficient transformers Y Tay, M Dehghani, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... arXiv preprint arXiv:2011.04006, 2020 | 497 | 2020 |
| Linear feature-based models for information retrieval D Metzler, WB Croft Information Retrieval 10 (3), 257-274, 2007 | 468 | 2007 |
| Similarity measures for short segments of text D Metzler, S Dumais, C Meek European conference on information retrieval, 16-27, 2007 | 430 | 2007 |
| Combining the language model and inference network approaches to retrieval D Metzler, WB Croft Information processing & management 40 (5), 735-750, 2004 | 368 | 2004 |
| Synthesizer: Rethinking self-attention for transformer models Y Tay, D Bahri, D Metzler, DC Juan, Z Zhao, C Zheng International conference on machine learning, 10183-10192, 2021 | 326 | 2021 |
| Latent concept expansion using markov random fields D Metzler, WB Croft Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 302 | 2007 |
| Sparse sinkhorn attention Y Tay, D Bahri, L Yang, D Metzler, DC Juan International Conference on Machine Learning, 9438-9447, 2020 | 283 | 2020 |
| Position bias estimation for unbiased learning to rank in personal search X Wang, N Golbandi, M Bendersky, D Metzler, M Najork Proceedings of the eleventh ACM international conference on web search and …, 2018 | 278 | 2018 |
| Learning to rank with selection bias in personal search X Wang, M Bendersky, D Metzler, M Najork Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 274 | 2016 |
| Ul2: Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ... arXiv preprint arXiv:2205.05131, 2022 | 267 | 2022 |
| A cascade ranking model for efficient ranked retrieval L Wang, J Lin, D Metzler Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 248 | 2011 |
| Improving the estimation of relevance models using large external corpora F Diaz, D Metzler Proceedings of the 29th annual international ACM SIGIR conference on …, 2006 | 236 | 2006 |
| Similarity measures for tracking information flow D Metzler, Y Bernstein, WB Croft, A Moffat, J Zobel Proceedings of the 14th ACM international conference on Information and …, 2005 | 229 | 2005 |
| Learning concept importance using a weighted dependence model M Bendersky, D Metzler, WB Croft Proceedings of the third ACM international conference on Web search and data …, 2010 | 228 | 2010 |
Yi TayResearch Scientist, Google BrainPreverjeni e-poštni naslov na google.com
