| 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 | 35 | 2020 |
| 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 | 21 | 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 | 20 | 2020 |
| Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval L Gao, X Ma, J Lin, J Callan arXiv preprint arXiv:2203.05765, 2022 | 18 | 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 | 15 | 2021 |
| 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 | 12 | 2021 |
| 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 | 11 | 2022 |
| 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 | 5 | 2022 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| Towards Best Practices for Training Multilingual Dense Retrieval Models X Zhang, K Ogueji, X Ma, J Lin arXiv preprint arXiv:2204.02363, 2022 | 4 | 2022 |
| Precise Zero-Shot Dense Retrieval without Relevance Labels L Gao, X Ma, J Lin, J Callan arXiv preprint arXiv:2212.10496, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| Sparsifying Sparse Representations for Passage Retrieval by Top- Masking JH Yang, X Ma, J Lin arXiv preprint arXiv:2112.09628, 2021 | 1 | 2021 |
| 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 |
Jimmy LinUniversity of WaterlooVerified email at uwaterloo.ca
