Jingtao Zhan - RankMe

37 papers A* 11A 3Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Dynamic and Parametric Retrieval-Augmented Generation. SIGIR Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu
2025	J	`jnl`	Dynamic and Parametric Retrieval-Augmented Generation. CoRR Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu
2025	J	`jnl`	Evaluating Intelligence via Trial and Error. CoRR Jingtao Zhan, Jiahao Zhao, Jiayu Li, Yiqun Liu, Bo Zhang, Qingyao Ai, Jiaxin Mao, Hongning Wang, Min Zhang, Shaoping Ma
2025	J	`jnl`	Foundations of GenIR. CoRR Qingyao Ai, Jingtao Zhan, Yiqun Liu
2025	J	`jnl`	Relative-Based Scaling Law for Neural Language Models. CoRR Baoqing Yue, Jinyuan Zhou, Zixi Wei, Jingtao Zhan, Qingyao Ai, Yiqun Liu
2025	J	`jnl`	What Scales in Cross-Entropy Scaling Law? CoRR Junxi Yan, Zixi Wei, Jingtao Zhan, Qingyao Ai, Yiqun Liu
2024	A*	`conf`	Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. SIGIR Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma
2024	J	`jnl`	Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. CoRR Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma
2024	A*	`conf`	Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. AAAI Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao
2024	—	`conf`	Prompt Refinement with Image Pivot for Text-to-Image Generation. ACL (1) Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei
2024	J	`jnl`	Prompt Refinement with Image Pivot for Text-to-Image Generation. CoRR Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei
2024	J	`jnl`	Query Augmentation by Decoding Semantics from Brain Signals. CoRR Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo
2024	A*	`conf`	Query Augmentation with Brain Signals. ACM Multimedia Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo
2024	A*	`conf`	Scaling Laws For Dense Retrieval. SIGIR Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu
2024	J	`jnl`	Scaling Laws For Dense Retrieval. CoRR Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu
2024	J	`jnl`	StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. CoRR Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang
2023	A*	`conf`	Constructing Tree-based Index for Efficient and Effective Dense Retrieval. SIGIR Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao
2023	J	`jnl`	Constructing Tree-based Index for Efficient and Effective Dense Retrieval. CoRR Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao
2023	A*	`conf`	Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022	J	`jnl`	Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. CoRR Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma
2022	J	`jnl`	Evaluating Extrapolation Performance of Dense Retrieval. CoRR Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2022	A	`conf`	Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. CIKM Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022	—	`conf`	Joint Optimization of Multi-vector Representation with Product Quantization. NLPCC (1) Yan Fang, Jingtao Zhan, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma
2022	A*	`conf`	Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022	A	`conf`	Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. WSDM Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022	—	`conf`	THUIR at the NTCIR-16 WWW-4 Task. NTCIR Shenghao Yang, Haitao Li, Zhumin Chu, Jingtao Zhan, Yiqun Liu, Min Zhang, Shaoping Ma
2021	J	`jnl`	Interpreting Dense Retrieval as Mixture of Topics. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021	A	`conf`	Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CIKM Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021	J	`jnl`	Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021	J	`jnl`	Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021	A*	`conf`	Optimizing Dense Retrieval Model Training with Hard Negatives. SIGIR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021	J	`jnl`	Optimizing Dense Retrieval Model Training with Hard Negatives. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2020	A*	`conf`	An Analysis of BERT in Document Ranking. SIGIR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	J	`jnl`	Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	A*	`conf`	Leveraging Passage-level Cumulative Gain for Document Ranking. WWW Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma
2020	J	`jnl`	RepBERT: Contextualized Text Embeddings for First-Stage Retrieval. CoRR Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	—	`conf`	THUIR at the NTCIR-15 WWW-3 Task. NTCIR Zhumin Chu, Jingtao Zhan, Xiangsheng Li, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma