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Lin, J., & Teofili, T. (2023). Searching Dense Representations With Inverted Indexes ArXiv, abs/2312.01556. https://doi.org/10.48550/ARXIV.2312.01556

Ozsu, T., & Xue, X. (2023). Preface SDA Presented at the Conference Paper Preface SDA conference. Retrieved from https://ceur-ws.org/Vol-3462/SDA0.pdf

Thakur, N., Bonifacio, L., Zhang, X., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., … Lin, J. (2023). NoMIRACL: Knowing When You Don\textquoterightt Know for Robust Multilingual Retrieval-Augmented Generation ArXiv, abs/2312.11361. https://doi.org/10.48550/ARXIV.2312.11361

Kamphuis, C., Lin, A., Yang, S., Lin, J., de Vries, A. P., & Hasibi, F. (2023). MMEAD: MS MARCO Entity Annotations and Disambiguations ArXiv, abs/2309.07574. https://doi.org/10.48550/arXiv.2309.07574

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

Chen, J., Huang, Y., Wang, M., Salihoglu, S., & Salem, K. (2023). Accurate Summary-Based Cardinality Estimation Through the Lens Of Cardinality Estimation Graphs SIGMOD Record, 52, 94-102. https://doi.org/10.1145/3604437.3604458

Hebert, L., Golab, L., & Cohen, R. (2023). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context ArXiv, abs/2301.04248. https://doi.org/10.48550/arXiv.2301.04248

Lin, S.-C., Li, M., & Lin, J. (2023). Aggretriever: A Simple Approach to Aggregate Textual Representations For Robust Dense Passage Retrieval Transactions of the Association for Computational Linguistics, 11, 436-452. https://doi.org/10.1162/TACL_A_00556

Zhong, W., Xie, Y., & Lin, J. (2023). Answer Retrieval for Math Questions Using Structural and Dense Retrieval Presented at the Retrieval for Math Questions Using Structural and Dense Retrieval Primary Tabs View conference. https://doi.org/10.1007/978-3-031-42448-9_18

Yang, J.-H., Lassance, C., de Rezende, R. S., Srinivasan, K., Redi, M., Clinchant, S. ephane, & Lin, J. (2023). AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation ArXiv, abs/2304.01961. https://doi.org/10.48550/arXiv.2304.01961