| Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks W Chen, X Ma, X Wang, WW Cohen TMLR 2023, 2023 | 586 | 2023 |
| 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 | 532* | 2021 |
| Precise Zero-Shot Dense Retrieval without Relevance Labels L Gao, X Ma, J Lin, J Callan ACL 2023, 2023 | 244 | 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 | 165* | 2022 |
| Fine-Tuning LLaMA for Multi-Stage Text Retrieval X Ma, L Wang, N Yang, F Wei, J Lin SIGIR 2024, 2023 | 133 | 2023 |
| MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Y Wang, X Ma, G Zhang, Y Ni, A Chandra, S Guo, W Ren, A Arulraj, X He, ... NeurIPS 2024, 2024 | 128* | 2024 |
| Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval X Zhang, X Ma, P Shi, J Lin arXiv preprint arXiv:2108.08787, 2021 | 101 | 2021 |
| Zero-Shot Listwise Document Reranking with a Large Language Model X Ma, X Zhang, R Pradeep, J Lin arXiv preprint arXiv:2305.02156, 2023 | 98 | 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 | 95 | 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 | 91 | 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 | 86* | 2023 |
| 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 | 81* | 2022 |
| Scientific Claim Verification with VERT5ERINI R Pradeep, X Ma, R Nogueira, J Lin arXiv preprint arXiv:2010.11930, 2020 | 67 | 2020 |
| Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering Y Wang, X Ma, W Chen Findings of the Association for Computational Linguistics: EMNLP 2024, 1754-1770, 2024 | 60* | 2024 |
| 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 | 40 | 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 | 40 | 2021 |
| 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 | 37 | 2023 |
| 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 | 35 | 2020 |
| 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 | 30 | 2022 |
| LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Z Jiang, X Ma, W Chen arXiv preprint arXiv:2406.15319, 2024 | 28 | 2024 |
Jimmy LinUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证