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Xueguang Ma
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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
148*2021
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
56*2022
Scientific Claim Verification with VERT5ERINI
R Pradeep, X Ma, R Nogueira, J Lin
arXiv preprint arXiv:2010.11930, 2020
352020
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
31*2022
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
X Zhang, X Ma, P Shi, J Lin
arXiv preprint arXiv:2108.08787, 2021
212021
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
202020
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
L Gao, X Ma, J Lin, J Callan
arXiv preprint arXiv:2203.05765, 2022
182022
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
152021
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval
X Ma, M Li, K Sun, J Xin, J Lin
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
122021
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
H Li, S Zhuang, A Mourad, X Ma, J Lin, G Zuccon
European Conference on Information Retrieval, 599-612, 2022
112022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
W Chen, X Ma, X Wang, WW Cohen
arXiv preprint arXiv:2211.12588, 2022
52022
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
H Li, S Wang, S Zhuang, A Mourad, X Ma, J Lin, G Zuccon
arXiv preprint arXiv:2205.00235, 2022
52022
On the Separation of Logical and Physical Ranking Models for Text Retrieval Applications.
J Lin, X Ma, J Mackenzie, A Mallia
DESIRES, 176-178, 2021
52021
Towards Best Practices for Training Multilingual Dense Retrieval Models
X Zhang, K Ogueji, X Ma, J Lin
arXiv preprint arXiv:2204.02363, 2022
42022
Precise Zero-Shot Dense Retrieval without Relevance Labels
L Gao, X Ma, J Lin, J Callan
arXiv preprint arXiv:2212.10496, 2022
12022
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
A Parmentier, R Cohen, X Ma, G Sahu, Q Chen
International Journal of Data Science and Analytics 13 (4), 399-425, 2022
12022
Sparsifying Sparse Representations for Passage Retrieval by Top- Masking
JH Yang, X Ma, J Lin
arXiv preprint arXiv:2112.09628, 2021
12021
An Encoder Attribution Analysis for Dense Passage Retriever in Open-Domain Question Answering
M Li, X Ma, J Lin
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing …, 2022
2022
Pseudo-Relevance Feedback with Dense Retrievers in Pyserini
H Li, S Zhuang, X Ma, J Lin, G Zuccon
2022
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Articles 1–19