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2020 – today
- 2024
[c15]Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao:
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. AAAI 2024: 17994-18002- [c14]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei:
Prompt Refinement with Image Pivot for Text-to-Image Generation. ACL (1) 2024: 941-954 - [c13]Ziyi Ye
, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation with Brain Signals. ACM Multimedia 2024: 7561-7570 - [c12]Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu:
Scaling Laws For Dense Retrieval. SIGIR 2024: 1339-1349 - [c11]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma:
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. SIGIR 2024: 2145-2155 - [i14]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation by Decoding Semantics from Brain Signals. CoRR abs/2402.15708 (2024) - [i13]Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu:
Scaling Laws For Dense Retrieval. CoRR abs/2403.18684 (2024) - [i12]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma:
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. CoRR abs/2403.19716 (2024) - [i11]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei:
Prompt Refinement with Image Pivot for Text-to-Image Generation. CoRR abs/2407.00247 (2024) - [i10]Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang:
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. CoRR abs/2410.07745 (2024) - 2023
- [c10]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI 2023: 6504-6508 - [c9]Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao:
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. SIGIR 2023: 131-140 - [i9]Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao:
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. CoRR abs/2304.11943 (2023) - 2022
- [c8]Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. CIKM 2022: 2486-2496 - [c7]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI 2022: 5374-5378 - [c6]Yan Fang, Jingtao Zhan, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma:
Joint Optimization of Multi-vector Representation with Product Quantization. NLPCC (1) 2022: 631-642 - [c5]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. WSDM 2022: 1328-1336 - [i8]Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Evaluating Extrapolation Performance of Dense Retrieval. CoRR abs/2204.11447 (2022) - [i7]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma:
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. CoRR abs/2208.05753 (2022) - 2021
- [c4]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CIKM 2021: 2487-2496 - [c3]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. SIGIR 2021: 1503-1512 - [i6]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. CoRR abs/2104.08051 (2021) - [i5]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CoRR abs/2108.00644 (2021) - [i4]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. CoRR abs/2110.05789 (2021) - [i3]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Interpreting Dense Retrieval as Mixture of Topics. CoRR abs/2111.13957 (2021) - 2020
- [c2]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
An Analysis of BERT in Document Ranking. SIGIR 2020: 1941-1944 - [c1]Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma:
Leveraging Passage-level Cumulative Gain for Document Ranking. WWW 2020: 2421-2431 - [i2]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval. CoRR abs/2006.15498 (2020) - [i1]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently. CoRR abs/2010.10469 (2020)
Coauthor Index
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