| Document Ranking with a Pretrained Sequence-to-Sequence Model R Nogueira, Z Jiang, R Pradeep, J Lin Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 583 | 2020 |
| Pyserini: A Python toolkit for reproducible information retrieval research with sparse and dense representations J Lin, X Ma, SC Lin, JH Yang, R Pradeep, R Nogueira Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 541* | 2021 |
| The expando-mono-duo design pattern for text ranking with pretrained sequence-to-sequence models R Pradeep, R Nogueira, J Lin arXiv preprint arXiv:2101.05667, 2021 | 173 | 2021 |
| Zero-shot listwise document reranking with a large language model X Ma, X Zhang, R Pradeep, J Lin arXiv preprint arXiv:2305.02156, 2023 | 110 | 2023 |
| Rankvicuna: Zero-shot listwise document reranking with open-source large language models R Pradeep, S Sharifymoghaddam, J Lin arXiv preprint arXiv:2309.15088, 2023 | 98 | 2023 |
| Scientific claim verification with VerT5erini R Pradeep, X Ma, R Nogueira, J Lin arXiv preprint arXiv:2010.11930, 2020 | 69 | 2020 |
| Covidex: neural ranking models and keyword search infrastructure for the COVID-19 open research dataset E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ... arXiv preprint arXiv:2007.07846, 2020 | 68 | 2020 |
| A replication study of dense passage retriever X Ma, K Sun, R Pradeep, J Lin arXiv preprint arXiv:2104.05740, 2021 | 64 | 2021 |
| RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! R Pradeep, S Sharifymoghaddam, J Lin arXiv preprint arXiv:2312.02724, 2023 | 63 | 2023 |
| Exploring listwise evidence reasoning with t5 for fact verification K Jiang, R Pradeep, J Lin Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 61 | 2021 |
| How does generative retrieval scale to millions of passages? R Pradeep, K Hui, J Gupta, AD Lelkes, H Zhuang, J Lin, D Metzler, ... arXiv preprint arXiv:2305.11841, 2023 | 57 | 2023 |
| Squeezing water from a stone: a bag of tricks for further improving cross-encoder effectiveness for reranking R Pradeep, Y Liu, X Zhang, Y Li, A Yates, J Lin European Conference on Information Retrieval, 655-670, 2022 | 43 | 2022 |
| Vera: Prediction techniques for reducing harmful misinformation in consumer health search R Pradeep, X Ma, R Nogueira, J Lin Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 40 | 2021 |
| Vector search with OpenAI embeddings: Lucene is all you need J Xian, T Teofili, R Pradeep, J Lin Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 36 | 2024 |
| H2oloo at trec 2020: When all you got is a hammer... deep learning, health misinformation, and precision medicine R Pradeep, X Ma, X Zhang, H Cui, R Xu, R Nogueira, J Lin Corpus 5 (d3), d2, 2020 | 34 | 2020 |
| Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO v1 and v2 X Ma, R Pradeep, R Nogueira, J Lin Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 28 | 2022 |
| Neural query synthesis and domain-specific ranking templates for multi-stage clinical trial matching R Pradeep, Y Li, Y Wang, J Lin Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 23 | 2022 |
| Another look at DPR: reproduction of training and replication of retrieval X Ma, K Sun, R Pradeep, M Li, J Lin European Conference on Information Retrieval, 613-626, 2022 | 23 | 2022 |
| Scaling down, litting up: Efficient zero-shot listwise reranking with seq2seq encoder-decoder models MS Tamber, R Pradeep, J Lin arXiv preprint arXiv:2312.16098, 2023 | 20 | 2023 |
| Correlation between the sucrose synthase protein subfamilies, variations in structure and expression in stress-derived expressed sequence tag datasets B Jayashree, R Pradeep, A Kumar, B Gopal Journal of Proteomics & Bioinformatics 1 (08), 408-423, 2008 | 15 | 2008 |
Jimmy LinUniversity of WaterlooVerifisert e-postadresse på uwaterloo.ca