JZ
Jingtao Zhan
cs.IRcs.CLcs.AIcs.LGcs.CV
On Valency
published · living versionsW_a424ywaf·v1 · currentpublished
Preprints & journals
20 papers in the corpus · 2020–2026Decoupled Mixture-of-Experts for Parametric Knowledge Injection2606.14243v1 · Baoqing Yue, Weihang Su, Qingyao Ai et al.2026 · 0 citationsarXiv
TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving2604.06734v3 · Xinkai Zhang, Jingtao Zhan, Yiqun Liu et al.2026 · 0 citationsarXiv
Relative-Based Scaling Law for Neural Language Models2510.20387v1 · Baoqing Yue, Jinyuan Zhou, Zixi Wei et al.2025 · 0 citationsarXiv
What Scales in Cross-Entropy Scaling Law?2510.04067v2 · Junxi Yan, Zixi Wei, Qingyao Ai et al.2025 · 0 citationsarXiv
Dynamic and Parametric Retrieval-Augmented Generation2506.06704v1 · Weihang Su, Qingyao Ai, Jingtao Zhan et al.2025 · 10 citationsarXiv
Evaluating Intelligence via Trial and Error2502.18858v2 · Jingtao Zhan, Jiahao Zhao, Jiayu Li et al.2025 · 0 citationsarXiv
Foundations of GenIR2501.02842v1 · Qingyao Ai, Jingtao Zhan, Yiqun Liu2025 · 0 citationsarXiv
Prompt Refinement with Image Pivot for Text-to-Image Generation2407.00247v1 · Jingtao Zhan, Qingyao Ai, Yiqun Liu et al.2024 · 4 citationsarXiv
Scaling Laws For Dense Retrieval2403.18684v2 · Yan Fang, Jingtao Zhan, Qingyao Ai et al.2024 · 28 citationsarXiv
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation2403.19716v1 · Jingtao Zhan, Qingyao Ai, Yiqun Liu et al.2024 · 7 citationsarXiv
Query Augmentation by Decoding Semantics from Brain Signals2402.15708v2 · Ziyi Ye, Jingtao Zhan, Qingyao Ai et al.2024 · 0 citationsarXiv
Constructing Tree-based Index for Efficient and Effective Dense Retrieval2304.11943v1 · Haitao Li, Qingyao Ai, Jingtao Zhan et al.2023 · 21 citationsarXiv
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval2208.05753v1 · Jingtao Zhan, Qingyao Ai, Yiqun Liu et al.2022 · 4 citationsarXiv
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models2204.11447v2 · Jingtao Zhan, Xiaohui Xie, Jiaxin Mao et al.2022 · 17 citationsarXiv
Interpreting Dense Retrieval as Mixture of Topics2111.13957v1 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2021 · 0 citationsarXiv
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval2110.05789v1 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2021 · 72 citationsarXiv
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance2108.00644v2 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2021 · 91 citationsarXiv
Optimizing Dense Retrieval Model Training with Hard Negatives2104.08051v1 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2021 · 246 citationsarXiv
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently2010.10469v1 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2020 · 12 citationsarXiv
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval2006.15498v2 · Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.2020 · 54 citationsarXiv
Career total: 31 works. 20 are in this corpus.
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