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
References
Filter by:
2022
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
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
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 Mproving Precancerous Case Characterization via Transformer-Based Ensemble Learning conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.38
Chambers, O., Cohen, R., Grossman, M., & Chen, Q. (2022). Creating a User Model to Support User-Specific Explanations of AI Systems Presented at the Creating a User Model to Support User-Specific Explanations of AI Systems conference. https://doi.org/10.1145/3511047.3537678
Yan, X., Luo, C., Clarke, C., Craswell, N., Voorhees, E. M., & Castells, P. (2022). Human Preferences as Dueling Bandits ArXiv, abs/2204.10362. https://doi.org/10.48550/arXiv.2204.10362
Borgida, A., Franconi, E., Toman, D., & Weddell, G. (2022). Accessing Document Data Sources Using Referring Expression Types Presented at the Accessing Document Data Sources Using Referring Expression Types conference. Retrieved from http://ceur-ws.org/Vol-3263/paper-6.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
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
Tang, R., Kumar, K., Yang, G., Pandey, A., Mao, Y., Belyaev, V., … Lin, J. (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale Presented at the SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.29