Zhong, W., Yang, J.-H., & Lin, J. (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval ArXiv, abs/2203.11163. https://doi.org/10.48550/arXiv.2203.11163
References
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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
Li, M., Lin, S.-C., Oguz, B., Ghoshal, A., Lin, J., Mehdad, Y., … Chen, X. (2022). CITADEL: Conditional Token Interaction via Dynamic Lexical Routing For Efficient and Effective Multi-Vector Retrieval ArXiv, abs/2211.10411. https://doi.org/10.48550/arXiv.2211.10411
Li, H., Wang, S., Zhuang, S., Mourad, A., Ma, X., Lin, J., & Zuccon, G. (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers ArXiv, abs/2205.00235. https://doi.org/10.48550/arXiv.2205.00235
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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 Presented at the A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods conference. https://doi.org/10.1145/3477495.3531657
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
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