Yujia Zhou

According to our database, Yujia Zhou authored at least 73 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study.

Shuqi Zhu, Yi Zhong, Ziyi Ye, Bangde Du, Yujia Zhou, Qingyao Ai, Yiqun Liu

CoRR, May, 2026

Hierarchical Document-Aware Interest Profiling in Personalized Search.

Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., April, 2026

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.

Wenhan Liu, Yutao Zhu, Zhicheng Dou, Yujia Zhou

ACM Trans. Inf. Syst., March, 2026

Parametric Social Identity Injection and Diversification in Public Opinion Simulation.

Hexi Wang, Yujia Zhou, Bangde Du, Qingyao Ai, Yiqun Liu

CoRR, March, 2026

Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions.

Xuancheng Li, Tao Yang, Yujia Zhou, Qingyao Ai, Yiqun Liu

CoRR, February, 2026

LegalOne: A Family of Foundation Models for Reliable Legal Reasoning.

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

CoRR, February, 2026

MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop.

Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai

CoRR, January, 2026

Generalized Pseudo-Relevance Feedback.

Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai

Proceedings of the ACM Web Conference 2026, 2026

Unsupervised Dense Retrieval with Conterfactual Contrastive Learning.

Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs.

Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities.

Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.

Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Simulating Dispute Mediation with LLM-Based Agents for Legal Research.

Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation.

Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu

CoRR, October, 2025

From to : Multidimensional Supervision of Reasoning Process for LLM Optimization.

Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu

CoRR, October, 2025

Chinese Court Simulation with LLM-Based Agent System.

Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Qingyao Ai, Yiqun Liu

CoRR, August, 2025

From Matching to Generation: A Survey on Generative Information Retrieval.

Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou

ACM Trans. Inf. Syst., May, 2025

ValueSim: Generating Backstories to Model Individual Value Systems.

Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu

CoRR, May, 2025

Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions.

Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu

CoRR, May, 2025

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects.

Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai

CoRR, January, 2025

Brain Image Reconstruction with Retrieval-Augmented Diffusion.

Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects.

Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Parametric Retrieval Augmented Generation.

Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

The 1^st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI.

Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs.

Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task.

Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Learning LLM-as-a-Judge for Preference Alignment.

Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Augmenting Multi-Agent Communication with State Delta Trajectory.

Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SimVBG: Simulating Individual Values by Backstory Generation.

Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA.

Yujia Zhou, Zheng Liu, Zhicheng Dou

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing.

Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation.

Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Ye Qi, Zhicheng Dou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.

Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ROGER: Ranking-Oriented Generative Retrieval.

Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen

ACM Trans. Inf. Syst., November, 2024

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.

Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2024

How to personalize and whether to personalize? Candidate documents decide.

Wenhan Liu, Yujia Zhou, Yutao Zhu, Zhicheng Dou

Knowl. Inf. Syst., September, 2024

Intent-Oriented Dynamic Interest Modeling for Personalized Web Search.

Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

ACM Trans. Inf. Syst., July, 2024

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation.

Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Qi Ye, Zhicheng Dou

CoRR, 2024

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Haitao Li, Qian Dong, Junjie Chen, Huixue Su, Yujia Zhou, Qingyao Ai, Ziyi Ye, Yiqun Liu

CoRR, 2024

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant.

Yujia Zhou, Zheng Liu, Zhicheng Dou

CoRR, 2024

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.

Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu

CoRR, 2024

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu

CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?

Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou

CoRR, 2024

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus.

Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu

CoRR, 2024

Information Retrieval Meets Large Language Models.

Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.

Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou

Proceedings of the ACM on Web Conference 2024, 2024

Metacognitive Retrieval-Augmented Large Language Models.

Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou

Proceedings of the ACM on Web Conference 2024, 2024

Generative Retrieval via Term Set Generation.

Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.

Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Boosting the Potential of Large Language Models with an Intelligent Information Assistant.

Yujia Zhou, Zheng Liu, Zhicheng Dou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems.

Ziliang Zhao, Zhicheng Dou, Yujia Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.

Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.

Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.

Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou

Proceedings of the Findings of the Association for Computational Linguistics, 2024

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements.

Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks.

Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., April, 2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

Mach. Intell. Res., April, 2023

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.

Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao

CoRR, 2023

Incorporating Explicit Subtopics in Personalized Search.

Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen

Proceedings of the ACM Web Conference 2023, 2023

PSLOG: Pretraining with Search Logs for Document Ranking.

Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.

Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VILE: Block-Aware Visual Enhanced Document Retrieval.

Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.

Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen

CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

CoRR, 2022

Socialformer: Social Network Inspired Long Document Modeling for Document Ranking.

Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Personalized Search with Dual-Feedback Network.

Chenlong Deng, Yujia Zhou, Zhicheng Dou

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Group based Personalized Search by Integrating Search Behaviour and Friend Network.

Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.

Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Enhancing Re-finding Behavior with External Memories for Personalized Search.

Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Encoding History with Context-aware Representation Learning for Personalized Search.

Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020