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Ronak Pradeep
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Document ranking with a pretrained sequence-to-sequence model
R Nogueira, Z Jiang, R Pradeep, J Lin
arXiv preprint arXiv:2003.06713, 2020
3622020
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
2822021
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
1102021
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
682020
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
562021
A replication study of dense passage retriever
X Ma, K Sun, R Pradeep, J Lin
arXiv preprint arXiv:2104.05740, 2021
492021
Scientific claim verification with VerT5erini
R Pradeep, X Ma, R Nogueira, J Lin
arXiv preprint arXiv:2010.11930, 2020
462020
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
342021
Zero-Shot Listwise Document Reranking with a Large Language Model
X Ma, X Zhang, R Pradeep, J Lin
arXiv preprint arXiv:2305.02156, 2023
322023
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
302021
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
292020
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
202022
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
192023
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
182022
Rankvicuna: Zero-shot listwise document reranking with open-source large language models
R Pradeep, S Sharifymoghaddam, J Lin
arXiv preprint arXiv:2309.15088, 2023
152023
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
152022
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
122022
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!
R Pradeep, S Sharifymoghaddam, J Lin
arXiv preprint arXiv:2312.02724, 2023
92023
Pyserini: An easy-to-use python toolkit to support replicable IR research with sparse and dense representations, CoRR abs/2102.10073 (2021)
J Lin, X Ma, S Lin, J Yang, R Pradeep, R Nogueira
URL: https://arxiv. org/abs/2102.10073, 2021
82021
The expando-mono-duo design pattern for text ranking with pretrained sequence-to-sequence models. CoRR abs/2101.05667 (2021)
R Pradeep, R Nogueira, J Lin
arXiv preprint arXiv:2101.05667, 2021
82021
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