| Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning K Srinivasan, K Raman, J Chen, M Bendersky, M Najork Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 287 | 2021 |
| Methods for Ordinal Peer Grading K Raman, T Joachims Proceedings of the 20th ACM SIGKDD International Conference on Knowledge …, 2014 | 156 | 2014 |
| Toward whole-session relevance: Exploring intrinsic diversity in web search K Raman, PN Bennett, K Collins-Thompson Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 98 | 2013 |
| Online learning to diversify from implicit feedback K Raman, P Shivaswamy, T Joachims Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 89* | 2012 |
| Evaluating the cross-lingual effectiveness of massively multilingual neural machine translation A Siddhant, M Johnson, H Tsai, N Ari, J Riesa, A Bapna, O Firat, K Raman Proceedings of the AAAI conference on artificial intelligence 34 (05), 8854-8861, 2020 | 71 | 2020 |
| Prediction and information retrieval for intrinsically diverse sessions K Raman, PN Bennett, KB Collins-Thompson US Patent 9,594,837, 2017 | 67 | 2017 |
| Bayesian Ordinal Peer Grading K Raman, T Joachims Proceedings of the Second (2015) ACM Conference on Learning @ Scale, 149–156, 2014 | 51 | 2014 |
| Fid-light: Efficient and effective retrieval-augmented text generation S Hofstätter, J Chen, K Raman, H Zamani Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 49 | 2023 |
| On improving pseudo-relevance feedback using pseudo-irrelevant documents K Raman, R Udupa, P Bhattacharya, A Bhole Advances in Information Retrieval: 32nd European Conference on IR Research …, 2010 | 43 | 2010 |
| Quill: Query intent with large language models using retrieval augmentation and multi-stage distillation K Srinivasan, K Raman, A Samanta, L Liao, L Bertelli, M Bendersky arXiv preprint arXiv:2210.15718, 2022 | 27 | 2022 |
| DiPair: Fast and accurate distillation for trillion-scale text matching and pair modeling J Chen, L Yang, K Raman, M Bendersky, JJ Yeh, Y Zhou, M Najork, D Cai, ... arXiv preprint arXiv:2010.03099, 2020 | 27 | 2020 |
| Stable coactive learning via perturbation K Raman, T Joachims, P Shivaswamy, T Schnabel International conference on machine learning, 837-845, 2013 | 27 | 2013 |
| Structured learning of two-level dynamic rankings K Raman, T Joachims, P Shivaswamy Proceedings of the 20th ACM international conference on Information and …, 2011 | 27 | 2011 |
| Understanding intrinsic diversity in web search: Improving whole-session relevance K Raman, PN Bennett, K Collins-Thompson ACM Transactions on Information Systems (TOIS) 32 (4), 1-45, 2014 | 25 | 2014 |
| Beyond myopic inference in big data pipelines K Raman, A Swaminathan, J Gehrke, T Joachims Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 24 | 2013 |
| Google COVID-19 search trends symptoms dataset: Anonymization process description (version 1.0) S Bavadekar, A Dai, J Davis, D Desfontaines, I Eckstein, K Everett, ... arXiv preprint arXiv:2009.01265, 2020 | 23 | 2020 |
| Multilingual PRF: english lends a helping hand MK Chinnakotla, K Raman, P Bhattacharyya Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 22 | 2010 |
| Dict-mlm: Improved multilingual pre-training using bilingual dictionaries A Chaudhary, K Raman, K Srinivasan, J Chen arXiv preprint arXiv:2010.12566, 2020 | 21 | 2020 |
| Transforming sequence tagging into a seq2seq task K Raman, I Naim, J Chen, K Hashimoto, K Yalasangi, K Srinivasan arXiv preprint arXiv:2203.08378, 2022 | 19 | 2022 |
| Learning socially optimal information systems from egoistic users K Raman, T Joachims Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 18 | 2013 |
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu