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Zhong, Y. ., Xiao, J. ., Vetterli, T. ., Matin, M. ., Loo, E. ., Lin, J. ., Bourgon, R. ., & Shapira, O. . (2022). Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning. Mproving Precancerous Case Characterization via Transformer-Based Ensemble Learning. Presented at the. Retrieved from https://aclanthology.org/2022.emnlp-industry.38

Arabzadeh, N. ., Vtyurina, A. ., Yan, X. ., & Clarke, C. . (2022). Shallow Pooling for Sparse Labels. Information Retrieval Journal, 25, 365-385. https://doi.org/10.1007/s10791-022-09411-0

Abualsaud, M. ., & Smucker, M. . (2022). The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior. The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior. Presented at the. https://doi.org/10.1145/3498366.3505770

Herodotou, H. ., Chrysanthis, P. K., Chen, S. ., Hsu, M. ., Daudjee, K. ., Wu, Y. ., & Costa, C. . (2022). Introduction to the special issue on self-managing and hardware-optimized database systems 2020. Distributed and Parallel Databases, 40, 1-3. https://doi.org/10.1007/s10619-021-07335-0

Gao, L. ., Ma, X. ., Lin, J. ., & Callan, J. . (2022). Precise Zero-Shot Dense Retrieval Without Relevance Labels. ArXiv, abs/2212.10496. https://doi.org/10.48550/arXiv.2212.10496

Borgida, A. ., Franconi, E. ., Toman, D. ., & Weddell, G. . (2022). Accessing Document Data Sources Using Referring Expression Types. Accessing Document Data Sources Using Referring Expression Types. Presented at the. Retrieved from http://ceur-ws.org/Vol-3263/paper-6.pdf

Mhedhbi, A. ., & Salihoglu, S. . (2022). Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges. Proceedings of the VLDB Endowment (PVLDB), 15, 3762-3765. Retrieved from https://www.vldb.org/pvldb/vol15/p3762-mhedhbi.pdf

Lin, J. ., Campos, D. ., Craswell, N. ., Mitra, B. ., & Yilmaz, E. . (2022). Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Presented at the. https://doi.org/10.1145/3477495.3531725

Sadri, N. ., & Cormack, G. . (2022). Continuous Active Learning Using Pretrained Transformers. ArXiv, abs/2208.06955. https://doi.org/10.48550/arXiv.2208.06955

Tang, R. ., Kumar, K. ., Yang, G. ., Pandey, A. ., Mao, Y. ., Belyaev, V. ., Emmadi, M. ., Murray, C. ., Türe, F. ., & Lin, J. . (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. Presented at the. Retrieved from https://aclanthology.org/2022.emnlp-industry.29