Zhang, X. ., Ogueji, K. ., Ma, X. ., & Lin, J. . (2022). Towards Best Practices for Training Multilingual Dense Retrieval Models. ArXiv, abs/2204.02363. https://doi.org/10.48550/arXiv.2204.02363
Reference author: Xueguang Ma
First name
Xueguang
Last name
Ma
Gao, L. ., Ma, X. ., Lin, J. ., & Callan, J. . (2022). Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. ArXiv, abs/2203.05765. https://doi.org/10.48550/arXiv.2203.05765
Li, H. ., Wang, S. ., Zhuang, S. ., Mourad, A. ., Ma, X. ., Lin, J. ., & Zuccon, G. . (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers. To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers. Presented at the. https://doi.org/10.1145/3477495.3531884
Ma, X. ., Pradeep, R. ., Nogueira, R. ., & Lin, J. . (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Presented at the. https://doi.org/10.1145/3477495.3531749
Li, H. ., Wang, S. ., Zhuang, S. ., Mourad, A. ., Ma, X. ., Lin, J. ., & Zuccon, G. . (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers. To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers. Presented at the. https://doi.org/10.1145/3477495.3531884
Ma, X. ., Pradeep, R. ., Nogueira, R. ., & Lin, J. . (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Presented at the. https://doi.org/10.1145/3477495.3531749
Li, M. ., Lin, S.-C. ., Ma, X. ., & Lin, J. . (2023). SLIM: Sparsified Late Interaction for Multi-Vector Retrieval With Inverted Indexes. ArXiv, abs/2302.06587. https://doi.org/10.48550/arXiv.2302.06587
Gao, L. ., Ma, X. ., Lin, J. ., & Callan, J. . (2022). Precise Zero-Shot Dense Retrieval Without Relevance Labels. ArXiv, abs/2212.10496. https://doi.org/10.48550/arXiv.2212.10496
Ma, X. ., Teofili, T. ., & Lin, J. . (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes. ArXiv, abs/2304.12139. https://doi.org/10.48550/arXiv.2304.12139
Pradeep, R. ., Ma, X. ., Nogueira, R. F., & Lin, J. . (2021). Scientific Claim Verification With VerT5erini. Scientific Claim Verification With VerT5erini. Presented at the. Retrieved from https://www.aclweb.org/anthology/2021.louhi-1.11/