About me

• I am currently a postdoctoral researcher at the Gaoling School of Artificial Intelligence, Renmin University of China. I earned my PhD from University of Montreal, where I was mentored by Prof. Jian-Yun Nie.
• I completed my master’s (2019) and bachelor’s (2016) degrees at Renmin University of China, under the guidance of Prof. Zhicheng Dou and Prof. Ji-Rong Wen, delving into various NLP challenges.
• Research interests: Retrieval-augmented generation, large language models for information retrieval, session-based document ranking

News

• 2024.1: We propose a new instruction tuning dataset (INTERS) for unlocking the power of LLMs on search tasks. See more details.
• 2023.11: We analyze the risk of data leakage in LLM pre-training and write a new paper to alert this problem. See more details.
• 2023.8: We write a new survey about applying large language models for information retrieval. See more details.
• 2023.8: We publish a new version of YuLan-Chat. It achieves better performance than the official LLaMA-2 and LLaMA-2-Chat on MMLU, C-Eval, and AGI-Gaokao benchmarks!

Publications

2024

• SIGIR 2024 Resource JDivPS: A Diversified Product Search Dataset, Zhirui Deng, Zhicheng Dou, Yutao Zhu, Xubo Qin, Pengchao Cheng, Jiangxu Wu, and Hao Wang.
• SIGIR 2024 Demo An Integrated Data Processing Framework for Pretraining Foundation Models, Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, and Jiaxin Mao.
• TOIS Passage-aware Search Result Diversification, Zhan Su, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• arXiv UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models, Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, and Ji-rong Wen.
• arXiv BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence, Jiajie Jin, Yutao Zhu, Yujia Zhou, and Zhicheng Dou.
• arXiv Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs, Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, and Ji-Rong Wen.
• arXiv INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning, Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen.
• WWW 2024 Mining Exploratory Queries for Conversational Search, Wenhan Liu, Ziliang Zhao, Yutao Zhu, Zhicheng Dou.
• WSDM 2024 CL4DIV: A Contrastive Learning Framework for Search Result Diversification, Zhirui Deng, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.

2023

• EMNLP 2023 Findings Joint Semantic and Strategy Matching for Persuasive Dialogue, Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, huan chen, Yuchong Sun, Yu Chen, and Jun Xu.
• KDD 2023 Learning to Relate to Previous Turns in Conversational Search, Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, and Yang Liu.
• ACL 2023 ConvGQR: Generative Query Reformulation for Conversational Search, Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, and Jian-Yun Nie.
• ACL 2023 Findings Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning, Yongkang Wu, Meng Han, Yutao Zhu, Lei Li, Xinyu Zhang, Ruofei Lai, Xiaoguang Li, Yuanhang Ren, Zhicheng Dou, and Zhao Cao.
• TOIS Contrastive Learning for Legal Judgment Prediction, Han Zhang, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• AAAI 2023 Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search, Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, and Zhao Cao.
• WSDM 2023 Heterogeneous Graph-based Context-aware Document Ranking, Shuting Wang, Zhicheng Dou, and Yutao Zhu.
• arXiv Don’t Make Your LLM an Evaluation Benchmark Cheater, Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, and Jiawei Han.
• arXiv Large Language Models for Information Retrieval: A Survey, Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen.
• arXiv WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus, Hongjing Qian*, Yutao Zhu*, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, and Ji-Rong Wen.
• arXiv A Text-guided Protein Design Framework, Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, and Anima Anandkumar.
• arXiv An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking, Xubo Qin, Xiyuan Liu, Xiongfeng Zheng, Jie Liu, and Yutao Zhu.

2022

• EMNLP 2022 Findings MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling, Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, and Zhengyi Ma.
• COLING 2022 Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding, Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, and Xipeng Qiu.
• CIKM 2022 From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking, Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, and Zhicheng Dou.
• CIKM 2022 Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search, Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, and Ji-Rong Wen.
• TOIS GDESA: Greedy Diversity Encoder with Self-Attention for Search Results Diversification, Xubo Qin, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• KDD 2022 Knowledge Enhanced Search Result Diversification, Zhan Su, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• NAACL-HLT 2022 Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation, Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, and Ji-Rong Wen.
• TOIS Leveraging Narrative to Generate Movie Script, Yutao Zhu, Ruihua Song, Jian-Yun Nie, Pan Du, Zhicheng Dou, and Jin Zhou.
• arXiv PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN, Du Pan, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, and Xiaohui Yan.

2021

• CIKM 2021 Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking, Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang.
• CIKM 2021 PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling, Yujia Zhou, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• CIKM 2021 Learning Implicit User Profile for Personalized Retrieval-Based Chatbot, Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, and Ji-Rong Wen.
• CCIR 2021 (Best Paper Award) Interaction-Based Document Matching for Implicit Search Result Diversification, Xubo Qin, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• TOIS Graph Neural Collaborative Topic Model for Citation Recommendation, Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, and Jian-Yun Nie.
• CCL 2021 Few-Shot Charge Prediction with Multi-grained Features and Mutual Information, Han Zhang, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen.
• SIGIR 2021 Short Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals, Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, and Zhicheng Dou.
• SIGIR 2021 Modeling Intent Graph for Search Result Diversification, Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, and Ji-Rong Wen.
• SIGIR 2021 One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles, Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, and Ji-Rong Wen.
• SIGIR 2021 Resource Pchatbot: A Large-Scale Dataset for Personalized Chatbot, Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, and Ji-Rong Wen.
• ECIR 2021 Content Selection Network for Document-grounded Retrieval-based Chatbots, Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, and Zhicheng Dou.
• AAAI 2021 Neural Sentence Ordering Based on Constraint Graphs, Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, and Zhicheng Dou.
• arXiv Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator, Hao Jiang, Yutao Zhu, Xinyu Zhang, Zhicheng Dou, Pan Du, Te Pi, and Yantao Jia.
• arXiv BERT4SO: Neural Sentence Ordering by Fine-tuning BERT, Yutao Zhu, Jian-Yun Nie, Kun Zhou, Shengchao Liu, Yabo Ling, and Pan Du.

2020

• CIKM 2020 S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization, Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen.
• ACL 2020 ScriptWriter: Narrative-Guided Script Generation, Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, and Jin Zhou.
• PAKDD 2020 Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting, Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, and Jingsong Yu.

2019

• IRJ ReBoost: A Retrieval-Boosted Sequence-to-SequenceModel for Neural Response Generation, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, and Ji-Rong Wen.
• IRJ Deep Cross-platform Product Matching in E-commerce, Juan Li, Zhicheng Dou, Yutao Zhu, Xiaochen Zuo, and Ji-Rong Wen.
• NTCIR 2019 A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation, Xiaohe Li, Jiaqing Liu, Weihao Zheng, Xiangbo Wang, Yutao Zhu, and Zhicheng Dou.

2018

• SIGIR 2018 Short An Attribute-aware Neural Attentive Model for Next Basket Recommendation, Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, and Ji-Rong Wen.

Experiences

• 2021.12 - 2022.12, Research Intern, Poisson Lab, Huawei . Supervised by Xinyu Zhang
• 2018.8 - 2019.6, Research Intern, XiaoIce, Microsoft Asia . Supervised by Ruihua Song
• 2016.9 - 2019.6, Research Assistant, Beijing Key Lab of Big Data Management and Analysis Methods. Supervised by Zhicheng Dou and Ji-Rong Wen
• 2016.6 - 2016.9, Software Engineer, Infosys Technology Limited . Supervised by Anjaneyulu Pasala

Academic Services

• PC Member: ACL, SIGIR, WWW, NeurIPS, SIGKDD, AAAI, EMNLP, CIKM, WSDM, COLING, COLM
• Journal Reviewer: TOIS, JASIST, KAIS, TALLIP, Computing Surveys, ACL Rolling Review