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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
376*2021
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
2782022
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
119*2022
Precise Zero-Shot Dense Retrieval without Relevance Labels
L Gao, X Ma, J Lin, J Callan
arXiv preprint arXiv:2212.10496, 2022
672022
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
X Zhang, X Ma, P Shi, J Lin
arXiv preprint arXiv:2108.08787, 2021
652021
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
64*2022
Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval
L Gao, X Ma, J Lin, J Callan
58*2023
Scientific Claim Verification with VERT5ERINI
R Pradeep, X Ma, R Nogueira, J Lin
arXiv preprint arXiv:2010.11930, 2020
472020
Zero-Shot Listwise Document Reranking with a Large Language Model
X Ma, X Zhang, R Pradeep, J Lin
arXiv preprint arXiv:2305.02156, 2023
382023
TheoremQA: A Theorem-driven Question Answering dataset
W Chen, M Yin, M Ku, E Wan, X Ma, J Xu, T Xia, X Wang, P Lu
arXiv preprint arXiv:2305.12524, 2023
372023
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
342020
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
332021
Few-shot In-context Learning for Knowledge Base Question Answering
T Li, X Ma, A Zhuang, Y Gu, Y Su, W Chen
arXiv preprint arXiv:2305.01750, 2023
302023
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
242022
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
X Ma, L Wang, N Yang, F Wei, J Lin
arXiv preprint arXiv:2310.08319, 2023
232023
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
212021
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Y Wang, X Ma, W Chen
arXiv preprint arXiv:2309.02233, 2023
202023
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
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
202022
Towards Best Practices for Training Multilingual Dense Retrieval Models
X Zhang, K Ogueji, X Ma, J Lin
arXiv preprint arXiv:2204.02363, 2022
182022
Sparsifying Sparse Representations for Passage Retrieval by Top- Masking
JH Yang, X Ma, J Lin
arXiv preprint arXiv:2112.09628, 2021
142021
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