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 | 546 | 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 | 434 | 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 | 158 | 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 | 89 | 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 | 77 | 2023 |
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 | 70 | 2020 |
Pyserini: An easy-to-use python toolkit to support replicable ir research with sparse and dense representations J Lin, X Ma, SC Lin, JH Yang, R Pradeep, R Nogueira arXiv preprint arXiv:2102.10073, 2021 | 69 | 2021 |
Scientific claim verification with VerT5erini R Pradeep, X Ma, R Nogueira, J Lin arXiv preprint arXiv:2010.11930, 2020 | 65 | 2020 |
A replication study of dense passage retriever X Ma, K Sun, R Pradeep, J Lin arXiv preprint arXiv:2104.05740, 2021 | 60 | 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 | 58 | 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 | 55 | 2021 |
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! R Pradeep, S Sharifymoghaddam, J Lin arXiv preprint arXiv:2312.02724, 2023 | 47 | 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 | 41 | 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 | 39 | 2021 |
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 | 35 | 2020 |
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 | 29 | 2024 |
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 | 22 | 2022 |
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 |