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
Publications
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Hebert, L. ., Golab, L. ., Poupart, P. ., & Cohen, R. . (2023). FedFormer: Contextual Federation With Attention in Reinforcement Learning. FedFormer: Contextual Federation With Attention in Reinforcement Learning. Presented at the. https://doi.org/10.5555/3545946.3598716
Hildred, J. ., Abebe, M. ., & Daudjee, K. . (2023). Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems. Proceedings of the VLDB Endowment (PVLDB), 17, 469-482. Retrieved from https://www.vldb.org/pvldb/vol17/p469-hildred.pdf
Ghasemitaheri, S. ., Holcomb, A. ., Golab, L. ., & Keshav, S. . (2023). On the Data Quality of Remotely Sensed Forest Maps. On the Data Quality of Remotely Sensed Forest Maps. Presented at the. Retrieved from https://ceur-ws.org/Vol-3462/QDB3.pdf
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
Zhang, X. ., Thakur, N. ., Ogundepo, O. ., Kamalloo, E. ., Alfonso-Hermelo, D. ., Li, X. ., Liu, Q. ., Rezagholizadeh, M. ., & Lin, J. . (2023). MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages. Transactions of the Association for Computational Linguistics, 11, 1114-1131. https://doi.org/10.1162/TACL_A_00595
Qian, K. ., Belyi, A. ., Wu, F. ., Khorshidi, S. ., Nikfarjam, A. ., Khot, R. ., Sang, Y. ., Luna, K. ., Chu, X. ., Choi, E. ., Govind, Y. ., Seivwright, C. ., Sun, Y. ., Fakhry, A. ., Rekatsinas, T. ., Ilyas, I. ., Qi, X. ., & 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. ., Metzler, D. ., & Tran, V. Q. (2023). How Does Generative Retrieval Scale to Millions of Passages?. How Does Generative Retrieval Scale to Millions of Passages?. Presented at the. 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
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