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CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.

, , , , , , , and . CoRR, (2022)

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Information-theoretic lower bounds on learning the structure of Bayesian networks., and . CoRR, (2016)Fast training on large genomics data using distributed Support Vector Machines., , , , , and . COMSNETS, page 1-8. IEEE, (2016)Learning Sparse Potential Games in Polynomial Time and Sample Complexity., and . CoRR, (2017)Covering space with simple robots: From chains to random trees., and . ICRA, page 914-920. IEEE, (2013)Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1749-1757. PMLR, (2018)CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval., , , , , , , and . CoRR, (2022)CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval., , , , , , , and . ACL (1), page 11891-11907. Association for Computational Linguistics, (2023)Minimax Bounds for Structured Prediction Based on Factor Graphs., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 213-222. PMLR, (2020)Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions., and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1532-1540. PMLR, (2017)Being There, Being the RRT: Space-Filling and Searching in Place with Minimalist Robots., and . AAAI Spring Symposium: Multirobot Systems and Physical Data Structures, AAAI, (2011)