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Mohapatra, S. ., Sasy, S. ., He, X. ., Kamath, G. ., & Thakkar, O. . (2022). The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. Presented at the. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/20749

Li, H. ., Wang, S. ., Zhuang, S. ., Mourad, A. ., Ma, X. ., Lin, J. ., & Zuccon, G. . (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers. ArXiv, abs/2205.00235. https://doi.org/10.48550/arXiv.2205.00235

Dehghan, M. ., Kumar, D. ., & Golab, L. . (2022). GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. Presented at the. Retrieved from https://aclanthology.org/2022.findings-acl.77

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. Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup. Presented at the. Retrieved from https://aclanthology.org/2022.findings-emnlp.388

Chopra, S. ., & Golab, L. . (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study. Gender Differences in Early Career Performance Reviews: A Text Mining Study. Presented at the. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf

Xia, K. ., Zhao, W. ., Jolfaei, A. ., & Ozsu, T. . (2022). Introduction to the Special Section on Edge/Fog Computing for Infectious Disease Intelligence. ACM Transactions on Internet Technology (TOIT), 22, 1-63. https://doi.org/10.1145/3494119

Zhang, D. ., Tahami, A. V., Abualsaud, M. ., & Smucker, M. . (2022). Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search. Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search. Presented at the. https://doi.org/10.1145/3477495.3531812

Zheng, Z. ., Zheng, L. ., Langouri, M. A., Chiang, F. ., Golab, L. ., Szlichta, J. ., & Baskaran, S. . (2022). Contextual Data Cleaning With Ontology Functional Dependencies. Journal of Data and Information Quality, 14, 1-20. https://doi.org/10.1145/3524303

Voorhees, E. M., Craswell, N. ., & Lin, J. . (2022). Too Many Relevants: Whither Cranfield Test Collections?. Too Many Relevants: Whither Cranfield Test Collections?. Presented at the. https://doi.org/10.1145/3477495.3531728

Li, H. ., Zhuang, S. ., Ma, X. ., Lin, J. ., & Zuccon, G. . (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini. Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Primary Tabs View. Presented at the. https://doi.org/10.1145/3572960.3572982