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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

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

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

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

Lin, S.-C. ., Ahmad, A. ., & Lin, J. . (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.emnlp-main.715

Thakur, N. ., Bonifacio, L. ., Zhang, X. ., Ogundepo, O. ., Kamalloo, E. ., Alfonso-Hermelo, D. ., Li, X. ., Liu, Q. ., Chen, B. ., Rezagholizadeh, M. ., & 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

Oladipo, A. ., Adeyemi, M. ., Ahia, O. ., Owodunni, A. T., Ogundepo, O. ., Adelani, D. I., & Lin, J. . (2023). Better Quality Pre-Training Data and T5 Models for African Languages. Better Quality Pre-Training Data and T5 Models for African Languages. Presented at the. Retrieved from https://aclanthology.org/2023.emnlp-main.11

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

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