Pradeep, R., Li, Y., Wang, Y., & Lin, J. (2022). Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching Presented at the Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching conference. https://doi.org/10.1145/3477495.3531853
References
Filter by:
Li, H., Zhuang, S., Ma, X., Lin, J., & Zuccon, G. (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Presented at the Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Primary Tabs View conference. https://doi.org/10.1145/3572960.3572982
Abebe, M., Lazu, H., & Daudjee, K. (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads Presented at the Proteus: Autonomous Adaptive Storage for Mixed Workloads conference. https://doi.org/10.1145/3514221.3517834
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
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
Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency ArXiv, abs/2208.04882. https://doi.org/10.48550/arXiv.2208.04882
Jiang, Z., Yang, M. Y. R., Tsirlin, M., Tang, R., & Lin, J. (2022). Less Is More: Parameter-Free Text Classification With Gzip ArXiv, abs/2212.09410. https://doi.org/10.48550/arXiv.2212.09410
Ma, X., Pradeep, R., Nogueira, R., & Lin, J. (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 Presented at the Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 conference. https://doi.org/10.1145/3477495.3531749
Thakur, N., Reimers, N., & Lin, J. (2022). Domain Adaptation for Memory-Efficient Dense Retrieval ArXiv, abs/2205.11498. https://doi.org/10.48550/arXiv.2205.11498
Shi, P., Zhang, R., Bai, H., & Lin, J. (2022). XRICL: Cross-Lingual Retrieval-Augmented in-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing Presented at the XRICL: Cross-Lingual Retrieval-Augmented In-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.384