About Me

I am a postdoctoral researcher at Tsinghua University, working with Prof. Yiqun Liu. I received my PhD degree from Renmin University of China, supervised by Prof. Zhicheng Dou at the Gaoling School of Artificial Intelligence. My research mainly focuses on Information Retrieval and Natural Language Processing. Currently, I’m working on applying language models on IR problems including search results personalization, generative document retrieval, and retrieval-augmented generation.

Education and Experience

• Jul. 2024 - present. Postdoctoral researcher, Department of Computer Science and Technology, Tsinghua University.
• Sep. 2019 - Jun. 2024. Ph.D. student, Gaoling School of Artificial Intelligence, Renmin University of China.
  • Oct. 2022 - Mar 2023. Visiting student, NExT++, National University of Singapore.
• Sep. 2015 - Jun. 2019. B.S., School of Information, Renmin University of China.

Publications

As the Primary Author

• 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 Poster) (CCF A)

• 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
  Arxiv

• 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 (ACM TOIS Full Paper) (CCF A)

• Metacognitive Retrieval-Augmented Large Language Models
  Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
  The Web Conference (WWW 2024 Full Paper) (CCF A)

• 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 Full Paper) (CCF A)

• UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
  Xiaoxi Li*, Yujia Zhou*, Zhicheng Dou (* indicates equal contribution)
  Annual AAAI Conference on Artificial Intelligence (AAAI 2024 Full Paper) (CCF A)

• 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 (IEEE TKDE Full Paper) (CCF A)

• 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 Main Conference) (CCF B)

• Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
  Yujia Zhou, Jing yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen
  Arxiv

• 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 Full Paper)

• Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
  Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma
  The Web Conference (WWW 2022 Full Paper) (CCF A)

• 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 (IEEE TKDE Full Paper) (CCF A)

• 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 Full Paper) (CCF B)

• 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 Full Paper) (CCF A)

• 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 Full Paper) (CCF A)

• 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 Full Paper) (CCF B)

• Dynamic Personalized Search Based on RNN with Attention Mechanism
  Yujia Zhou, Zhicheng Dou, Songwei Ge, Ji-Rong Wen
  Chinese Journal of Computer (2019) (Best Student Paper Award in CCIR 2018) (Chinese CCF A)

As a co-author

• 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 Full Paper) (CCF B)

• 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 Main Conference) (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 Full Paper) (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 Full Paper) (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 Full Paper) (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 (ACM TOIS Full Paper) (CCF A)

• 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 Full Paper) (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 Full Paper) (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 Full Paper) (CCF A)

• Incorporating Explicit Subtopics in Personalized Search
  Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen
  The Web Conference (WWW 2023 Full Paper) (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 Full Paper) (CCF B)

Honors and Rewards

• Shuimu Tsinghua Scholar Program 2024
• Global Top40 of Baidu Scholarship 2022
• Microsoft Research Asia Fellowship Nomination Award 2022
• National scholarship for PhD students 2022
• National scholarship for PhD students 2020
• Innovative Talents Cultivation Funded Programs of Renmin University of China 2020
• Best Student Paper Award in CCIR 2018

Academic Service

• Journal Reviewer: TALLIP, JASIST, TOIS
• PC Member: SIGIR, SIGKDD, TheWebConf, WSDM, CIKM