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Large Language Models Exhibit Stigmatizing Behaviour in Contextual Judgements of Health Conditions
Xi Wang, Yujia Zhou†, Guangyu Zhou†
Nature Health Nature Index
Featured in Science
Chatbots can help perpetuate stigma around certain health conditions
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Parametric Social Identity Injection and Diversification in Public Opinion Simulation
Hexi Wang, Yujia Zhou†, Bangde Du, Qingyao Ai†, Yiqun Liu
SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2026 / CCF A
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Investigating Prosocial Behavior Theory in LLM Agents under Policy-Induced Inequities
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A
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How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA
Yujia Zhou, Zheng Liu, Zhicheng Dou
International Conference on Computational Linguistics COLING 2025 / CCF B
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The 1st 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
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 Workshop
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Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Yujia Zhou, Zheng Liu, Zhicheng Dou
Annual Conference on Neural Information Processing Systems NeurIPS 2024 / CCF A
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Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Yujia Zhou, Wenbo Zhang, Jingying Shao, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Jason Chen Zhang, Zhicheng Dou, Philip S. Yu, Jiaxin Mao
arXiv 2409.10102v2 / 2026
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ROGER: Ranking-oriented Generative Retrieval
Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen
ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2
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Metacognitive Retrieval-Augmented Large Language Models
Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
The Web Conference WWW 2024 / CCF A
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Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
The Web Conference WWW 2024 / CCF A
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UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
Xiaoxi Li*, Yujia Zhou*, Zhicheng Dou
Annual AAAI Conference on Artificial Intelligence AAAI 2024 / CCF A
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WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm
Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6
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Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
Conference on Empirical Methods in Natural Language Processing EMNLP 2023 / CCF B
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DynamicRetriever: A Pre-training Model-based IR System without an Explicit Index
Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen
Machine Intelligence Research MIR / Q1 / IF 10
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Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma
The Web Conference WWW 2022 / CCF A
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Enhancing Potential Re-finding in Personalized Search with Hierarchical Memory Networks
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6
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PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen
ACM International Conference on Information and Knowledge Management CIKM 2021 / CCF B
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Group based Personalized Search by Integrating Search Behaviour and Friend Network
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2021 / CCF A
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Encoding History with Context-aware Representation Learning for Personalized Search
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2020 / CCF A
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Enhancing Re-finding Behavior with External Memories for Personalized Search
Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
ACM International Conference on Web Search and Data Mining WSDM 2020 / CCF B
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Dynamic Personalized Search Based on RNN with Attention Mechanism
Yujia Zhou, Zhicheng Dou, Songwei Ge, Ji-Rong Wen
Chinese Journal of Computer CJC / Chinese CCF A
- Chinese Court Simulation with LLM-Based Agents System
Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Yiqun Liu, Qingyao Ai
Annual Meeting of the Association for Computational Linguistics ACL 2026 Findings
- 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
Annual Meeting of the Association for Computational Linguistics ACL 2026 Findings
- Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai
Annual Meeting of the Association for Computational Linguistics ACL 2026 / CCF A
- Generalized Pseudo-Relevance Feedback
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
The Web Conference WWW 2026 / CCF A
- DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
Wenhan Liu, Yutao Zhu, Zhicheng Dou, Yujia Zhou
ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2
- Hierarchical Document-aware Interest Profiling in Personalized Search
Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6
- The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review
Xi Wang, Yujia Zhou, Guangyu Zhou
JMIR Mental Health Q1 / IF 7.4
- Enhancing Health Assessments with Large Language Models: A Methodological Approach
Xi Wang, Yujia Zhou, Guangyu Zhou
Applied Psychology: Health and Well-Being Q1
- Unveiling the Cognitive Burden: The Impact of Stigma on Distorted Thinking among Individuals Living with Hepatitis B
Xi Wang, Yujia Zhou, Guangyu Zhou
International Journal of Clinical and Health Psychology Q1
- Unsupervised Dense Retrieval with Counterfactual Contrastive Learning
Haitian Chen, Qingyao Ai, Xiao Wang, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu
ACM International Conference on Web Search and Data Mining WSDM 2026 / CCF B
- 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
Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A
- 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
Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou
Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B
- SimVBG: Simulating Individual Values by Backstory Generation
Bangde Du, Ziyi Ye, Zhijing Wu, Monika A. Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B
- Augmenting Multi-Agent Communication with State Delta Trajectory
Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B
- ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region SIGIR-AP 2025
- EEG Reveals the Cognitive Impact of Polarized Content in Short Video Scenarios
Bangde Du, Ziyi Ye, Monika A. Jankowska, Zhijing Wu, Qingyao Ai, Yujia Zhou, Yiqun Liu
Scientific Reports Sci Rep / Q1 / IF 3.9
- 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 Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2
- 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
Annual Meeting of the Association for Computational Linguistics ACL 2025 / CCF A
- 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
Annual Meeting of the Association for Computational Linguistics ACL 2025 / CCF A
- Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu
Annual Meeting of the Association for Computational Linguistics ACL 2025 Findings
- Parametric Retrieval Augmented Generation
Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A
- Brain Image Reconstruction with Retrieval-Augmented Diffusion
Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A
- RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A
- 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
International Conference on Learning Representations ICLR 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
ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2025 / CCF A
- Evaluating the Modesty of RAG Systems at the NTCIR-19 R2C2 Task: Potential Challenges
Tetsuya Sakai, Shitao Tao, Akari Ishikawa, Hui Fang, Ziliang Zhao, Yujia Zhou, Nuo Chen, Yi I. Song
NTCIR 2025
- Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems
Ziliang Zhao, Zhicheng Dou, Yujia Zhou
ACM International Conference on Information and Knowledge Management CIKM 2024 / CCF B
- Information Retrieval Meets Large Language Models
Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
Companion Proceedings of the ACM Web Conference WWW Companion 2024
- Grounding Language Model with Chunking-Free In-Context Retrieval
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
Annual Meeting of the Association for Computational Linguistics ACL 2024 / CCF A
- BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou
Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings
- 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
Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings
- 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
Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings
- How to Personalize and Whether to Personalize? Candidate Documents Decide
Wenhan Liu, Yujia Zhou, Yutao Zhu, Zhicheng Dou
Knowledge and Information Systems KAIS / CCF B
- CorpusLM: Towards an Ultimate Language Model on Corpus for Knowledge-Intensive Tasks
Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2024 / CCF A
- Generative Retrieval via Term Set Generation
Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao
International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2024 / CCF A
- Intent-oriented Dynamic Interest Modeling for Personalized Web Search
Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2
- VILE: Block-Aware Visual Enhanced Document Retrieval
Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen
ACM International Conference on Information and Knowledge Management CIKM 2023 / CCF B
- NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR
Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou
ACM International Conference on Information and Knowledge Management CIKM 2023 / CCF B
- PSLOG: Pretraining with Search Logs for Document Ranking
Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2023 / CCF A
- Incorporating Explicit Subtopics in Personalized Search
Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen
The Web Conference WWW 2023 / CCF A
- Improving Personalized Search with Dual-Feedback Network
Chenlong Deng, Yujia Zhou, Zhicheng Dou
ACM International Conference on Web Search and Data Mining WSDM 2022 / CCF B