Trotman, A. ., Mackenzie, J. ., Parameswaran, P. ., & Lin, J. . (2022). A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods. A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods. Presented at the. https://doi.org/10.1145/3477495.3531657
Publications
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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
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
Tang, R. ., Pandey, A. ., Jiang, Z. ., Yang, G. ., Kumar, K. ., Lin, J. ., & Türe, F. . (2022). What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ArXiv, abs/2210.04885. https://doi.org/10.48550/arXiv.2210.04885
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
Abebe, M. ., Lazu, H. ., & Daudjee, K. . (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads. Proteus: Autonomous Adaptive Storage for Mixed Workloads. Presented at the. https://doi.org/10.1145/3514221.3517834
Shehata, D. ., Arabzadeh, N. ., & Clarke, C. . (2022). Early Stage Sparse Retrieval With Entity Linking. ArXiv, abs/2208.04887. https://doi.org/10.48550/arXiv.2208.04887
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
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
Toman, D. ., & Weddell, G. . (2022). First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics. First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics. Presented at the. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/20534