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Jingtao Zhan

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Capability-aware Prompt Reformulation Learning for Text-to-Image Generation

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Mar 27, 2024
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma

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Scaling Laws For Dense Retrieval

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Mar 27, 2024
Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu

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Query Augmentation by Decoding Semantics from Brain Signals

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Mar 03, 2024
Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo

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Constructing Tree-based Index for Efficient and Effective Dense Retrieval

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Apr 24, 2023
Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao

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Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

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Aug 11, 2022
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma

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Evaluating Extrapolation Performance of Dense Retrieval

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Apr 25, 2022
Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma

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Interpreting Dense Retrieval as Mixture of Topics

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Nov 27, 2021
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

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Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

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Oct 12, 2021
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

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Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

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Aug 22, 2021
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

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Optimizing Dense Retrieval Model Training with Hard Negatives

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Apr 16, 2021
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

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