Li, M., Li, M., Xiong, K., & Lin, J. (2021). Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering Presented at the Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering conference. Retrieved from https://aclanthology.org/2021.findings-emnlp.26
References
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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). In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval Presented at the In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval conference. Retrieved from https://aclanthology.org/2021.repl4nlp-1.17
Near, J. P., & He, X. (2021). Differential Privacy for Databases Foundations and Trends in Databases, 11, 109-225. https://doi.org/10.1561/1900000066
Yang, J.-H., Ma, X., & Lin, J. (2021). Sparsifying Sparse Representations for Passage Retrieval by Top-K Masking ArXiv, abs/2112.09628. Retrieved from https://arxiv.org/abs/2112.09628
Sheshbolouki, A., & Ozsu, T. (2021). Scale-Invariant Strength Assortativity of Streaming Butterflies ArXiv, abs/2111.12217. Retrieved from https://arxiv.org/abs/2111.12217
Toman, D., & Wedell, G. (2021). Projective Beth Definability and Craig Interpolation for Relational Query Optimization (Material to Accompany Invited Talk) Presented at the Projective Beth Definability and Craig Interpolation for Relational Query Optimization (Material to Accompany Invited Talk) conference. Retrieved from http://ceur-ws.org/Vol-3009/invited1.pdf
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
Lin, J. (2021). A Proposed Conceptual Framework for a Representational Approach To Information Retrieval SIGIR Forum, 55, 1-4. https://doi.org/10.1145/3527546.3527552
Li, M., Li, M., Xiong, K., & Lin, J. (2021). Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering Presented at the Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering conference. Retrieved from https://aclanthology.org/2021.findings-emnlp.26