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

Mohapatra, S., Zong, J., Kerschbaum, F., & He, X. (2023). Differentially Private Data Generation With Missing Data ArXiv, abs/2310.11548. https://doi.org/10.48550/ARXIV.2310.11548

Zou, L., Pang, Y., Ozsu, T., & Chen, J. (2023). Efficient Execution of SPARQL Queries With OPTIONAL and UNION Expressions ArXiv, abs/2303.13844. https://doi.org/10.48550/arXiv.2303.13844

Bauer, C., Carterette, B., Ferro, N., Fuhr, N., Beel, J., Breuer, T., … Zobel, J. (2023). Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education SIGIR Forum, 57, 1-7. https://doi.org/10.1145/3636341.3636351

Mohapatra, S., Zong, J., Kerschbaum, F., & He, X. (2023). Differentially Private Data Generation With Missing Data ArXiv, abs/2310.11548. https://doi.org/10.48550/ARXIV.2310.11548

Ma, X., Teofili, T., & Lin, J. (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes Presented at the Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes conference. https://doi.org/10.1145/3583780.3615112

Tamber, M. S., Pradeep, R., & Lin, J. (2023). Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering Presented at the Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering conference. https://doi.org/10.1007/978-3-031-28241-6_11

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

Ozsu, T. (2023). Data Science: A Systematic Treatment ArXiv, abs/2301.13761. https://doi.org/10.48550/arXiv.2301.13761

Tamber, M. S., Pradeep, R., & Lin, J. (2023). Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking With Seq2seq Encoder-Decoder Models ArXiv, abs/2312.16098. https://doi.org/10.48550/ARXIV.2312.16098