| 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 | 468* | 2021 |
| Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks W Chen, X Ma, X Wang, WW Cohen TMLR 2023, 2023 | 433 | 2023 |
| 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 | 149* | 2022 |
| Precise Zero-Shot Dense Retrieval without Relevance Labels L Gao, X Ma, J Lin, J Callan ACL 2023, 2023 | 138 | 2023 |
| Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval X Zhang, X Ma, P Shi, J Lin arXiv preprint arXiv:2108.08787, 2021 | 86 | 2021 |
| 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 | 77* | 2022 |
| Zero-Shot Listwise Document Reranking with a Large Language Model X Ma, X Zhang, R Pradeep, J Lin arXiv preprint arXiv:2305.02156, 2023 | 74 | 2023 |
| Fine-Tuning LLaMA for Multi-Stage Text Retrieval X Ma, L Wang, N Yang, F Wei, J Lin SIGIR 2024, 2023 | 71 | 2023 |
| Tevatron: An efficient and flexible toolkit for neural retrieval L Gao, X Ma, J Lin, J Callan Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 69* | 2023 |
| Theoremqa: A theorem-driven question answering dataset W Chen, M Yin, M Ku, P Lu, Y Wan, X Ma, J Xu, X Wang, T Xia The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 62 | 2023 |
| Few-shot In-context Learning for Knowledge Base Question Answering T Li, X Ma, A Zhuang, Y Gu, Y Su, W Chen ACL 2023, 2023 | 57 | 2023 |
| Scientific Claim Verification with VERT5ERINI R Pradeep, X Ma, R Nogueira, J Lin arXiv preprint arXiv:2010.11930, 2020 | 57 | 2020 |
| Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering Y Wang, X Ma, W Chen arXiv preprint arXiv:2309.02233, 2023 | 42 | 2023 |
| 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 | 38 | 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 | 34 | 2020 |
| Toward best practices for training multilingual dense retrieval models X Zhang, K Ogueji, X Ma, J Lin ACM Transactions on Information Systems 42 (2), 1-33, 2023 | 30 | 2023 |
| Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models R Tang, X Zhang, X Ma, J Lin, F Ture arXiv preprint arXiv:2310.07712, 2023 | 28 | 2023 |
| 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 | 27 | 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 Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 26 | 2022 |
| 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 | 25 | 2021 |
Jimmy LinUniversity of Waterloo在 uwaterloo.ca 的電子郵件地址已通過驗證
