Encoding History with Context-aware Representation Learning for Personalized Search. - Yujia Zhou 002; Zhicheng Dou; Ji-Rong Wen (SIGIR, 2020)

Enhancing Re-finding Behavior with External Memories for Personalized Search. - Yujia Zhou 002; Zhicheng Dou; Ji-Rong Wen (WSDM, 2020)

PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. - Yujia Zhou 002; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (CIKM, 2021)

Group based Personalized Search by Integrating Search Behaviour and Friend Network. - Yujia Zhou 002; Zhicheng Dou; Bingzheng Wei; Ruobing Xie; Ji-Rong Wen (SIGIR, 2021)

Improving Personalized Search with Dual-Feedback Network. - Chenlong Deng; Yujia Zhou 002; Zhicheng Dou (WSDM, 2022)

Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. - Yujia Zhou 002; Zhicheng Dou; Huaying Yuan; Zhengyi Ma (WWW, 2022)

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Ji-Rong Wen (CoRR, 2022)

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Peitian Zhang; Ji-Rong Wen (CoRR, 2022)

NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. - Zihan Wang 010; Yujia Zhou 002; Yiteng Tu; Zhicheng Dou (CIKM, 2023)

VILE: Block-Aware Visual Enhanced Document Retrieval. - Huaying Yuan; Zhicheng Dou; Yujia Zhou 002; Yu Guo 011; Ji-Rong Wen (CIKM, 2023)

Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. - Yujia Zhou 002; Zhicheng Dou; Ji-Rong Wen (EMNLP, 2023)

PSLOG: Pretraining with Search Logs for Document Ranking. - Zhan Su; Zhicheng Dou; Yujia Zhou 002; Ziyuan Zhao; Ji-Rong Wen (KDD, 2023)

Incorporating Explicit Subtopics in Personalized Search. - Shuting Wang 002; Zhicheng Dou; Jing Yao; Yujia Zhou 002; Ji-Rong Wen (WWW, 2023)

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines. - Peitian Zhang; Zheng Liu 011; Yujia Zhou 002; Zhicheng Dou; Zhao Cao (CoRR, 2023)

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Ji-Rong Wen (Mach. Intell. Res., 2023)

Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks. - Yujia Zhou 002; Zhicheng Dou; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2023)

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models. - Xiaoxi Li; Yujia Zhou 002; Zhicheng Dou (AAAI, 2024)

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements. - Chenlong Deng; Zhicheng Dou; Yujia Zhou 002; Peitian Zhang; Kelong Mao (ACL (Findings), 2024)

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence. - Jiajie Jin; Yutao Zhu 001; Yujia Zhou 002; Zhicheng Dou (ACL (Findings), 2024)

Grounding Language Model with Chunking-Free In-Context Retrieval. - Hongjin Qian; Zheng Liu 011; Kelong Mao; Yujia Zhou 002; Zhicheng Dou (ACL (1), 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 001; Yujia Zhou 002; Yiqun Liu 001 (ACL (Findings), 2024)

Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems. - Ziliang Zhao; Zhicheng Dou; Yujia Zhou 002 (CIKM, 2024)

Boosting the Potential of Large Language Models with an Intelligent Information Assistant. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (NeurIPS, 2024)

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks. - Xiaoxi Li; Zhicheng Dou; Yujia Zhou 002; Fangchao Liu (SIGIR, 2024)

Generative Retrieval via Term Set Generation. - Peitian Zhang; Zheng Liu 011; Yujia Zhou 002; Zhicheng Dou; Fangchao Liu; Zhao Cao (SIGIR, 2024)

Metacognitive Retrieval-Augmented Large Language Models. - Yujia Zhou 002; Zheng Liu 011; Jiajie Jin; Jian-Yun Nie; Zhicheng Dou (WWW, 2024)

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. - Yujia Zhou 002; Qiannan Zhu; Jiajie Jin; Zhicheng Dou (WWW, 2024)

Information Retrieval Meets Large Language Models. - Zheng Liu 011; Yujia Zhou 002; Yutao Zhu 001; Jianxun Lian; Chaozhuo Li; Zhicheng Dou; Defu Lian; Jian-Yun Nie (WWW (Companion Volume), 2024)

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus. - Xiaoxi Li; Zhicheng Dou; Yujia Zhou 002; Fangchao Liu (CoRR, 2024)

Are Long-LLMs A Necessity For Long-Context Tasks? - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (CoRR, 2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. - Yujia Zhou 002; Yan Liu 002; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Zheng Liu 011; Chaozhuo Li; Zhicheng Dou; Tsung-Yi Ho; Philip S. Yu (CoRR, 2024)

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data. - Ziyi Ye; Xiangsheng Li; Qiuchi Li; Qingyao Ai; Yujia Zhou 002; Wei Shen; Dong Yan; Yiqun Liu 001 (CoRR, 2024)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (CoRR, 2024)

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods. - Haitao Li 006; Qian Dong; Junjie Chen; Huixue Su; Yujia Zhou 002; Qingyao Ai; Ziyi Ye; Yiqun Liu 001 (CoRR, 2024)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation. - Xiaoxi Li; Jiajie Jin; Yujia Zhou 002; Yongkang Wu; Zhonghua Li; Qi Ye; Zhicheng Dou (CoRR, 2024)

Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. - Yutong Bai; Yujia Zhou 002; Zhicheng Dou; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

How to personalize and whether to personalize? Candidate documents decide. - Wenhan Liu; Yujia Zhou 002; Yutao Zhu 001; Zhicheng Dou (Knowl. Inf. Syst., 2024)

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. - Yujia Zhou 002; Jing Yao; Ledell Wu; Zhicheng Dou; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

ROGER: Ranking-Oriented Generative Retrieval. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Yiteng Tu; Ledell Wu; Tat-Seng Chua; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges. - Haitao Li 006; Junjie Chen; Qingyao Ai; Zhumin Chu; Yujia Zhou 002; Qian Dong; Yiqun Liu 001 (ACL (1), 2025)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation. - Xiaoxi Li; Jiajie Jin; Yujia Zhou 002; Yongkang Wu; Zhonghua Li; Ye Qi; Zhicheng Dou (ACL (1), 2025)

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing. - Changyue Wang; Weihang Su; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (ACL (Findings), 2025)

How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA. - Yujia Zhou 002; Zheng Liu 011; Zhicheng Dou (COLING, 2025)

Learning LLM-as-a-Judge for Preference Alignment. - Ziyi Ye; Xiangsheng Li; Qiuchi Li; Qingyao Ai; Yujia Zhou 002; Wei Shen; Dong Yan; Yiqun Liu 001 (ICLR, 2025)

Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Yujia Zhou 002; Xu Chen 017; Zhicheng Dou (KDD (1), 2025)

The 1st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI. - Yujia Zhou 002; Wei Ji 008; Xuri Ge; Qingyao Ai; Joemon M. Jose; Yiqun Liu 001 (SIGIR, 2025)

Parametric Retrieval Augmented Generation. - Weihang Su; Yichen Tang; Qingyao Ai; Junxi Yan; Changyue Wang; Hongning Wang; Ziyi Ye; Yujia Zhou 002; Yiqun Liu 001 (SIGIR, 2025)

Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects. - Yiteng Tu; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Qingyao Ai (SIGIR, 2025)

Brain Image Reconstruction with Retrieval-Augmented Diffusion. - Shuqi Zhu; Ziyi Ye; Yi Zhong; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (SIGIR, 2025)

Search-o1: Agentic Search-Enhanced Large Reasoning Models. - Xiaoxi Li; Guanting Dong; Jiajie Jin; Yuyao Zhang; Yujia Zhou 002; Yutao Zhu 001; Peitian Zhang; Zhicheng Dou (CoRR, 2025)

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects. - Yiteng Tu; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Qingyao Ai (CoRR, 2025)

Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions. - Yujia Zhou 002; Hexi Wang; Qingyao Ai; Zhen Wu; Yiqun Liu 001 (CoRR, 2025)

ValueSim: Generating Backstories to Model Individual Value Systems. - Bangde Du; Ziyi Ye; Zhijing Wu 001; Monika Jankowska; Shuqi Zhu; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (CoRR, 2025)

From Matching to Generation: A Survey on Generative Information Retrieval. - Xiaoxi Li; Jiajie Jin; Yujia Zhou 002; Yuyao Zhang; Peitian Zhang; Yutao Zhu 001; Zhicheng Dou (ACM Trans. Inf. Syst., 2025)

Augmenting Multi-Agent Communication with State Delta Trajectory. - Yichen Tang; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Qingyao Ai (CoRR, 2025)

Chinese Court Simulation with LLM-Based Agent System. - Kaiyuan Zhang; Jiaqi Li; Yueyue Wu; Haitao Li 006; Cheng Luo 001; Shaokun Zou; Yujia Zhou 002; Weihang Su; Qingyao Ai; Yiqun Liu 001 (CoRR, 2025)

Simulating Dispute Mediation with LLM-Based Agents for Legal Research. - Junjie Chen; Haitao Li 006; Minghao Qin; Yujia Zhou 002; Yanxue Ren; Wuyue Wang; Yiqun Liu 001; Yueyue Wu; Qingyao Ai (CoRR, 2025)