Lin, S.-C., Ahmad, A., & Lin, J. (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval Presented at the MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.emnlp-main.715
References
Filter by:
Kassaie, B., & Tompa, F. (2023). Autonomously Computable Information Extraction Proceedings of the VLDB Endowment (PVLDB), 16, 2431-2443. https://doi.org/10.14778/3603581.3603585
Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2023). FedFormer: Contextual Federation With Attention in Reinforcement Learning Presented at the FedFormer: Contextual Federation With Attention in Reinforcement Learning conference. https://doi.org/10.5555/3545946.3598716
Qian, K., Belyi, A., Wu, F., Khorshidi, S., Nikfarjam, A., Khot, R., … Li, Y. (2023). Open Domain Knowledge Extraction for Knowledge Graphs ArXiv, abs/2312.09424. https://doi.org/10.48550/ARXIV.2312.09424
Pradeep, R., Hui, K., Gupta, J., Lelkes, A. am D., Zhuang, H., Lin, J., … Tran, V. Q. (2023). How Does Generative Retrieval Scale to Millions of Passages? Presented at the How Does Generative Retrieval Scale to Millions of Passages? conference. Retrieved from https://aclanthology.org/2023.emnlp-main.83
Sheshbolouki, A., & Ozsu, T. (2023). sGrow: Explaining the Scale-Invariant Strength Assortativity of Streaming Butterflies ACM Transactions on the Web, 17, 1-24. https://doi.org/10.1145/3572408
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
Conia, S., Li, M., Lee, D., Minhas, U. F., Ilyas, I., & Li, Y. (2023). Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs Presented at the Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs conference. Retrieved from https://aclanthology.org/2023.emnlp-main.100
Lin, S.-C., & Lin, J. (2023). A Dense Representation Framework for Lexical and Semantic Matching ACM Transactions on Information Systems (TOIS), 41, 1-110. https://doi.org/10.1145/3582426
Chen, H., Lassance, C., & Lin, J. (2023). End-to-End Retrieval With Learned Dense and Sparse Representations Using Lucene ArXiv, abs/2311.18503. https://doi.org/10.48550/ARXIV.2311.18503