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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

Buchanan, G. R., McKay, D. ., & Clarke, C. . (2023). Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking. Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking. Presented at the. https://doi.org/10.1145/3576840.3578301

Salihoglu, S. . (2023). K\ uzu: A Database Management System for "Beyond Relational" Workloads. SIGMOD Record, 52, 39-40. https://doi.org/10.1145/3631504.3631514

O\textquoterightHalloran, T. ., McManus, B. ., Harbison, A. ., Grossman, M. ., & Cormack, G. . (2023). Technology-Assisted Review for Spreadsheets and Noisy Text. Technology-Assisted Review for Spreadsheets and Noisy Text. Presented at the. https://doi.org/10.1145/3573128.3609341

Kamalloo, E. ., Dziri, N. ., Clarke, C. ., & Rafiei, D. . (2023). Evaluating Open-Domain Question Answering in the Era of Large Language Models. ArXiv, abs/2305.06984. https://doi.org/10.48550/arXiv.2305.06984

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. ArXiv, abs/2311.15781. https://doi.org/10.48550/ARXIV.2311.15781

Liu, C. ., Usta, A. ., Zhao, J. ., & Salihoglu, S. . (2023). Governor: Turning Open Government Data Portals Into Interactive Databases. Governor: Turning Open Government Data Portals Into Interactive Databases. Presented at the. https://doi.org/10.1145/3544548.3580868

Akiki, C. ., Ogundepo, O. ., Piktus, A. ., Zhang, X. ., Oladipo, A. ., Lin, J. ., & Potthast, M. . (2023). Spacerini: Plug-and-Play Search Engines With Pyserini and Hugging Face. ArXiv, abs/2302.14534. https://doi.org/10.48550/arXiv.2302.14534

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

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