Shi, P., Song, L., Jin, L., Mi, H., Bai, H., Lin, J., & Yu, D. (2022). Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup Presented at the Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.388
References
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2022
Ghayyur, S., Ghosh, D., He, X., & Mehrotra, S. (2022). MIDE: Accuracy Aware Minimally Invasive Data Exploration for Decision Support Proceedings of the VLDB Endowment (PVLDB), 15, 2653-2665. Retrieved from https://www.vldb.org/pvldb/vol15/p2653-ghayyur.pdf
Chopra, S., & Golab, L. (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study Presented at the Gender Differences in Early Career Performance Reviews: A Text Mining Study conference. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf
Ammar, K., Sahu, S., Salihoglu, S., & Ozsu, T. (2022). Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs Proceedings of the VLDB Endowment (PVLDB), 15, 3186-3198. Retrieved from https://www.vldb.org/pvldb/vol15/p3186-ammar.pdf
Ma, X., Sun, K., Pradeep, R., Li, M., & Lin, J. (2022). Another Look at DPR: Reproduction of Training and Replication Of Retrieval Presented at the Another Look at DPR: Reproduction of Training and Replication Of Retrieval conference. https://doi.org/10.1007/978-3-030-99736-6_41
Kane, A., Ng, Y. K., & Tompa, F. (2022). Dowsing for Answers to Math Questions: Doing Better With Less Presented at the Dowsing for Answers to Math Questions: Doing Better With Less conference. Retrieved from http://ceur-ws.org/Vol-3180/paper-03.pdf
Ilyas, I., & Rekatsinas, T. (2022). Machine Learning and Data Cleaning: Which Serves the Other? Journal of Data and Information Quality, 14, 1-13. https://doi.org/10.1145/3506712
Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Analyzing Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150
Zhang, X., Ogueji, K., Ma, X., & Lin, J. (2022). Towards Best Practices for Training Multilingual Dense Retrieval Models ArXiv, abs/2204.02363. https://doi.org/10.48550/arXiv.2204.02363
Lin, J. (2022). On the Interaction Between Differential Privacy and Gradient Compression In Deep Learning ArXiv, abs/2211.00734. https://doi.org/10.48550/arXiv.2211.00734