Ilyas, I., Rekatsinas, T., Konda, V., Pound, J., Qi, X., & Soliman, M. A. (2022). Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Presented at the Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale conference. https://doi.org/10.1145/3514221.3526049
References
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Borgida, A., Franconi, E., Toman, D., & Weddell, G. (2022). Understanding Document Data Sources Using Ontologies With Referring Expressions Presented at the Understanding Document Data Sources Using Ontologies With Referring Expressions Primary Tabs View conference. https://doi.org/10.1007/978-3-031-22695-3_26
Jin, G., & Salihoglu, S. (2022). Making RDBMSs Efficient on Graph Workloads Through Predefined Joins Proceedings of the VLDB Endowment (PVLDB), 15, 1011-1023. Retrieved from https://www.vldb.org/pvldb/vol15/p1011-jin.pdf
Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150
Lin, J. (2022). Building a Culture of Reproducibility in Academic Research ArXiv, abs/2212.13534. https://doi.org/10.48550/arXiv.2212.13534
Zhong, Y., Xiao, J., Vetterli, T., Matin, M., Loo, E., Lin, J., … Shapira, O. (2022). Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning Presented at the Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.38
Zhong, Y., Xiao, J., Vetterli, T., Matin, M., Loo, E., Lin, J., … Shapira, O. (2022). Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning ArXiv, abs/2212.05150. https://doi.org/10.48550/arXiv.2212.05150
Zhong, W., Yang, J.-H., & Lin, J. (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval ArXiv, abs/2203.11163. https://doi.org/10.48550/arXiv.2203.11163
Zhong, Y., Xiao, J., Vetterli, T., Matin, M., Loo, E., Lin, J., … Shapira, O. (2022). Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning Presented at the Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.38
Mazmudar, M., Humphries, T., Liu, J., Rafuse, M., & He, X. (2022). Cache Me if You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration ArXiv, abs/2211.15732. https://doi.org/10.48550/arXiv.2211.15732