Yujia Zhou

90 papers A* 24A 7B 1Journal 48Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu
2026 A* conf
Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.
AAAI
Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2026 J jnl
Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai
2026 J jnl
Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions.
CoRR
Xuancheng Li, Tao Yang, Yujia Zhou, Qingyao Ai, Yiqun Liu
2026 J jnl
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.
ACM Trans. Inf. Syst.
Wenhan Liu, Yutao Zhu, Zhicheng Dou, Yujia Zhou
2026 A* conf
Generalized Pseudo-Relevance Feedback.
WWW
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
2026 J jnl
Hierarchical Document-Aware Interest Profiling in Personalized Search.
IEEE Trans. Knowl. Data Eng.
Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2026 A* conf
Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities.
AAAI
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
2026 J jnl
LegalOne: A Family of Foundation Models for Reliable Legal Reasoning.
CoRR
Haitao Li, Yifan Chen, Shuo Miao, Qian Dong, Jia Chen, Yiran Hu, Junjie Chen, Minghao Qin, Yueyue Wu, Yujia Zhou, Qingyao Ai, Yiqun Liu, Cheng Luo, Quan Zhou, Ya Zhang, Jikun Hu
2026 J jnl
MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai
2026 J jnl
Parametric Social Identity Injection and Diversification in Public Opinion Simulation.
CoRR
Hexi Wang, Yujia Zhou, Bangde Du, Qingyao Ai, Yiqun Liu
2026 A* conf
Simulating Dispute Mediation with LLM-Based Agents for Legal Research.
AAAI
Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai
2026 A conf
Unsupervised Dense Retrieval with Conterfactual Contrastive Learning.
WSDM
Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu
2025 — conf
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs.
SIGIR-AP
Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu
2025 A* conf
Augmenting Multi-Agent Communication with State Delta Trajectory.
EMNLP
Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2025 J jnl
Augmenting Multi-Agent Communication with State Delta Trajectory.
CoRR
Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2025 A* conf
Brain Image Reconstruction with Retrieval-Augmented Diffusion.
SIGIR
Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 — conf
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
ACL (1)
Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu
2025 J jnl
Chinese Court Simulation with LLM-Based Agent System.
CoRR
Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Qingyao Ai, Yiqun Liu
2025 — conf
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing.
ACL (Findings)
Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing.
CoRR
Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
From Matching to Generation: A Survey on Generative Information Retrieval.
ACM Trans. Inf. Syst.
Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou
2025 J jnl
From to : Multidimensional Supervision of Reasoning Process for LLM Optimization.
CoRR
Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu
2025 J jnl
Generalized Pseudo-Relevance Feedback.
CoRR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
2025 B conf
How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA.
COLING
Yujia Zhou, Zheng Liu, Zhicheng Dou
2025 A* conf
Learning LLM-as-a-Judge for Preference Alignment.
ICLR
Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu
2025 A* conf
Parametric Retrieval Augmented Generation.
SIGIR
Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
2025 J jnl
Parametric Retrieval Augmented Generation.
CoRR
Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
2025 J jnl
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects.
CoRR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
2025 — conf
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation.
ACL (1)
Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Ye Qi, Zhicheng Dou
2025 A* conf
Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects.
SIGIR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
2025 A* conf
Search-o1: Agentic Search-Enhanced Large Reasoning Models.
EMNLP
Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou
2025 J jnl
Search-o1: Agentic Search-Enhanced Large Reasoning Models.
CoRR
Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou
2025 A* conf
SimVBG: Simulating Individual Values by Backstory Generation.
EMNLP
Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
Simulating Dispute Mediation with LLM-Based Agents for Legal Research.
CoRR
Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai
2025 J jnl
Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions.
CoRR
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
2025 — conf
Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task.
KDD (1)
Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou
2025 A* conf
The 1
SIGIR
Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu
2025 J jnl
TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation.
CoRR
Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu
2025 J jnl
ValueSim: Generating Backstories to Model Individual Value Systems.
CoRR
Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
2024 — conf
An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements.
ACL (Findings)
Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao
2024 J jnl
Are Long-LLMs A Necessity For Long-Context Tasks?
CoRR
Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou
2024 J jnl
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant.
CoRR
Yujia Zhou, Zheng Liu, Zhicheng Dou
2024 — conf
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.
ACL (Findings)
Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou
2024 J jnl
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.
CoRR
Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou
2024 J jnl
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.
CoRR
Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu
2024 A* conf
Boosting the Potential of Large Language Models with an Intelligent Information Assistant.
NeurIPS
Yujia Zhou, Zheng Liu, Zhicheng Dou
2024 J jnl
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
CoRR
Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu
2024 A* conf
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.
WWW
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
2024 J jnl
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.
CoRR
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
2024 A* conf
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.
SIGIR
Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu
2024 J jnl
From Matching to Generation: A Survey on Generative Information Retrieval.
CoRR
Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou
2024 A conf
Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems.
CIKM
Ziliang Zhao, Zhicheng Dou, Yujia Zhou
2024 A* conf
Generative Retrieval via Term Set Generation.
SIGIR
Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao
2024 — conf
Grounding Language Model with Chunking-Free In-Context Retrieval.
ACL (1)
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
2024 J jnl
Grounding Language Model with Chunking-Free In-Context Retrieval.
CoRR
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
2024 J jnl
How to personalize and whether to personalize? Candidate documents decide.
Knowl. Inf. Syst.
Wenhan Liu, Yujia Zhou, Yutao Zhu, Zhicheng Dou
2024 — conf
Information Retrieval Meets Large Language Models.
WWW (Companion Volume)
Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2024 J jnl
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search.
ACM Trans. Inf. Syst.
Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2024 J jnl
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.
CoRR
Haitao Li, Qian Dong, Junjie Chen, Huixue Su, Yujia Zhou, Qingyao Ai, Ziyi Ye, Yiqun Liu
2024 A* conf
Metacognitive Retrieval-Augmented Large Language Models.
WWW
Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
2024 J jnl
Metacognitive Retrieval-Augmented Large Language Models.
CoRR
Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
2024 J jnl
ROGER: Ranking-Oriented Generative Retrieval.
ACM Trans. Inf. Syst.
Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen
2024 J jnl
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation.
CoRR
Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Qi Ye, Zhicheng Dou
2024 J jnl
Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus.
CoRR
Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu
2024 J jnl
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.
CoRR
Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu
2024 A* conf
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.
AAAI
Xiaoxi Li, Yujia Zhou, Zhicheng Dou
2024 — conf
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
ACL (Findings)
Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu
2024 J jnl
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
CoRR
Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu
2024 J jnl
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.
IEEE Trans. Knowl. Data Eng.
Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen
2023 J jnl
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.
Mach. Intell. Res.
Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen
2023 A* conf
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.
EMNLP
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2023 J jnl
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks.
IEEE Trans. Knowl. Data Eng.
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2023 A* conf
Incorporating Explicit Subtopics in Personalized Search.
WWW
Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen
2023 A conf
NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.
CIKM
Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou
2023 A* conf
PSLOG: Pretraining with Search Logs for Document Ranking.
KDD
Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen
2023 J jnl
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.
CoRR
Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao
2023 J jnl
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.
CoRR
Xiaoxi Li, Yujia Zhou, Zhicheng Dou
2023 A conf
VILE: Block-Aware Visual Enhanced Document Retrieval.
CIKM
Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen
2022 J jnl
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.
CoRR
Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen
2022 A conf
Improving Personalized Search with Dual-Feedback Network.
WSDM
Chenlong Deng, Yujia Zhou, Zhicheng Dou
2022 A* conf
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking.
WWW
Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma
2022 J jnl
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking.
CoRR
Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma
2022 J jnl
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.
CoRR
Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen
2021 A* conf
Group based Personalized Search by Integrating Search Behaviour and Friend Network.
SIGIR
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
2021 J jnl
Group based Personalized Search by Integrating Search Behaviour and Friend Network.
CoRR
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
2021 A conf
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
CIKM
Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen
2021 J jnl
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
CoRR
Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen
2020 A* conf
Encoding History with Context-aware Representation Learning for Personalized Search.
SIGIR
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2020 A conf
Enhancing Re-finding Behavior with External Memories for Personalized Search.
WSDM
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen