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
References
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2022
Xin, J., Tang, R., Jiang, Z., Yu, Y., & Lin, J. (2022). Building an Efficiency Pipeline: Commutativity and Cumulativeness Of Efficiency Operators for Transformers ArXiv, abs/2208.00483. https://doi.org/10.48550/arXiv.2208.00483
2021
Xue, H., Salim, F. D., Ren, Y., & Clarke, C. (2021). Translating Human Mobility Forecasting Through Natural Language Generation ArXiv, abs/2112.11481. Retrieved from https://arxiv.org/abs/2112.11481
Lin, S.-C., Yang, J.-H., & Lin, J. (2021). Contextualized Query Embeddings for Conversational Search Presented at the Contextualized Query Embeddings for Conversational Search conference. Retrieved from https://aclanthology.org/2021.emnlp-main.77
Near, J. P., & He, X. (2021). Differential Privacy for Databases Foundations and Trends in Databases, 11, 109-225. https://doi.org/10.1561/1900000066
Bai, H., Shi, P., Lin, J., Tan, L., Xiong, K., Gao, W., … Li, M. (2021). Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation With GPT2 Presented at the Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation With GPT2 conference. Retrieved from https://aclanthology.org/2021.acl-srw.16
Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., & Lin, J. (2021). Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting ACM Transactions on Information Systems (TOIS), 39, 1-48. https://doi.org/10.1145/3446426
Arabzadeh, N., Yan, X., & Clarke, C. (2021). Predicting Efficiency/Effectiveness Trade-Offs for Dense vs. Sparse Retrieval Strategy Selection ArXiv, abs/2109.10739. Retrieved from https://arxiv.org/abs/2109.10739
Tang, R., Kumar, K., Chalkley, K., Xin, J., Zhang, L., Li, W., … Lin, J. (2021). Voice Query Auto Completion Presented at the Voice Query Auto Completion conference. Retrieved from https://aclanthology.org/2021.emnlp-main.68
Mackenzie, J., Trotman, A., & Lin, J. (2021). Wacky Weights in Learned Sparse Representations and the Revenge Of Score-at-a-Time Query Evaluation ArXiv, abs/2110.11540. Retrieved from https://arxiv.org/abs/2110.11540