Ma, X. ., Wang, L. ., Yang, N. ., Wei, F. ., & Lin, J. . (2023). Fine-Tuning LLaMA for Multi-Stage Text Retrieval. ArXiv, abs/2310.08319. https://doi.org/10.48550/ARXIV.2310.08319
Reference author: Xueguang Ma
First name
Xueguang
Last name
Ma
Tang, R. ., Zhang, X. ., Ma, X. ., Lin, J. ., & Türe, F. . (2023). Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. ArXiv, abs/2310.07712. https://doi.org/10.48550/ARXIV.2310.07712
Ma, X. ., Teofili, T. ., & Lin, J. . (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes. Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes. Presented at the. https://doi.org/10.1145/3583780.3615112
Tang, R. ., Zhang, X. ., Ma, X. ., Lin, J. ., & Türe, F. . (2023). Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. ArXiv, abs/2310.07712. https://doi.org/10.48550/ARXIV.2310.07712
Ma, X. ., Teofili, T. ., & Lin, J. . (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes. Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes. Presented at the. https://doi.org/10.1145/3583780.3615112
Ma, X. ., Fun, H. ., Yin, X. ., Mallia, A. ., & Lin, J. . (2023). Enhancing Sparse Retrieval via Unsupervised Learning. Enhancing Sparse Retrieval via Unsupervised Learning. Presented at the. https://doi.org/10.1145/3624918.3625334
Zhang, X. ., Ogueji, K. ., Ma, X. ., & Lin, J. . (2024). Toward Best Practices for Training Multilingual Dense Retrieval Models. ACM Transactions on Information Systems (TOIS), 42, 1-39. https://doi.org/10.1145/3613447
Ma, X. ., Fun, H. ., Yin, X. ., Mallia, A. ., & Lin, J. . (2023). Enhancing Sparse Retrieval via Unsupervised Learning. Enhancing Sparse Retrieval via Unsupervised Learning. Presented at the. https://doi.org/10.1145/3624918.3625334
Zhang, X. ., Ogueji, K. ., Ma, X. ., & Lin, J. . (2024). Toward Best Practices for Training Multilingual Dense Retrieval Models. ACM Transactions on Information Systems (TOIS), 42, 1-39. https://doi.org/10.1145/3613447
Zhang, X. ., Ogueji, K. ., Ma, X. ., & Lin, J. . (2024). Toward Best Practices for Training Multilingual Dense Retrieval Models. ACM Transactions on Information Systems (TOIS), 42, 1-39. https://doi.org/10.1145/3613447