A large-scale evaluation and analysis of personalized search strategies. - Zhicheng Dou; Ruihua Song; Ji-Rong Wen (WWW, 2007)

Are click-through data adequate for learning web search rankings? - Zhicheng Dou; Ruihua Song; Xiaojie Yuan; Ji-Rong Wen (CIKM, 2008)

Using anchor texts with their hyperlink structure for web search. - Zhicheng Dou; Ruihua Song; Jian-Yun Nie; Ji-Rong Wen (SIGIR, 2009)

Microsoft Research Asia at the Web Track of TREC 2009. - Zhicheng Dou; Kun Chen; Ruihua Song; Yunxiao Ma; Shuming Shi 001; Ji-Rong Wen (TREC, 2009)

Evaluating the Effectiveness of Personalized Web Search. - Zhicheng Dou; Ruihua Song; Ji-Rong Wen; Xiaojie Yuan (IEEE Trans. Knowl. Data Eng., 2009)

Personalized Web Search. - Ji-Rong Wen; Zhicheng Dou; Ruihua Song (Encyclopedia of Database Systems, 2009)

Simple Evaluation Metrics for Diversified Search Results. - Tetsuya Sakai; Nick Craswell; Ruihua Song; Stephen Robertson; Zhicheng Dou; Chin-Yew Lin (EVIA@NTCIR, 2010)

Learning Query Ambiguity Models by Using Search Logs. - Ruihua Song; Zhicheng Dou; Hsiao-Wuen Hon; Yong Yu 001 (J. Comput. Sci. Technol., 2010)

Finding dimensions for queries. - Zhicheng Dou; Sha Hu 002; Yulong Luo; Ruihua Song; Ji-Rong Wen (CIKM, 2011)

Microsoft Research Asia at the NTCIR-9 Intent Task. - Jialong Han; Qinglei Wang; Naoki Orii; Zhicheng Dou; Tetsuya Sakai; Ruihua Song (NTCIR, 2011)

Multi-dimensional search result diversification. - Zhicheng Dou; Sha Hu 002; Kun Chen; Ruihua Song; Ji-Rong Wen (WSDM, 2011)

The Reusability of a Diversified Search Test Collection. - Tetsuya Sakai; Zhicheng Dou; Ruihua Song; Noriko Kando (AIRS, 2012)

Estimating Intent Types for Search Result Diversification. - Kosetsu Tsukuda; Tetsuya Sakai; Zhicheng Dou; Katsumi Tanaka (AIRS, 2013)

Improving Web Search Ranking by Incorporating Structured Annotation of Queries. - Xiao Ding; Zhicheng Dou; Bing Qin 001; Ting Liu 001; Ji-Rong Wen (EMNLP, 2013)

MSRA at NTCIR-10 1CLICK-2. - Kazuya Narita; Tetsuya Sakai; Zhicheng Dou; Young-In Song (NTCIR, 2013)

Overview of the NTCIR-10 INTENT-2 Task. - Tetsuya Sakai; Zhicheng Dou; Takehiro Yamamoto; Yiqun Liu 001; Min Zhang 006; Ruihua Song (NTCIR, 2013)

Microsoft Research Asia at the NTCIR-10 Intent Task. - Kosetsu Tsukuda; Zhicheng Dou; Tetsuya Sakai (NTCIR, 2013)

Summaries, ranked retrieval and sessions: a unified framework for information access evaluation. - Tetsuya Sakai; Zhicheng Dou (SIGIR, 2013)

The impact of intent selection on diversified search evaluation. - Tetsuya Sakai; Zhicheng Dou; Charles L. A. Clarke (SIGIR, 2013)

Summary of the NTCIR-10 INTENT-2 task: subtopic mining and search result diversification. - Tetsuya Sakai; Zhicheng Dou; Takehiro Yamamoto; Yiqun Liu 001; Min Zhang 006; Makoto P. Kato; Ruihua Song; Mayu Iwata (SIGIR, 2013)

Mining subtopics from text fragments for a web query. - Qinglei Wang; Ya-nan Qian; Ruihua Song; Zhicheng Dou; Fan Zhang 092; Tetsuya Sakai; Qinghua Zheng (Inf. Retr., 2013)

Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences. - Fei Chen; Yiqun Liu 001; Zhicheng Dou; Keyang Xu; Yujie Cao; Min Zhang 006; Shaoping Ma (AIRS, 2014)

Personalizing Web Search Results Based on Subspace Projection. - Jingfei Li; Dawei Song 001; Peng Zhang 002; Ji-Rong Wen; Zhicheng Dou (AIRS, 2014)

Overview of the NTCIR-11 IMine Task. - Yiqun Liu 001; Ruihua Song; Min Zhang 006; Zhicheng Dou; Takehiro Yamamoto; Makoto P. Kato; Hiroaki Ohshima; Ke Zhou 003 (NTCIR, 2014)

Content-Based Collaborative Filtering for News Topic Recommendation. - Zhongqi Lu; Zhicheng Dou; Jianxun Lian; Xing Xie 001; Qiang Yang 001 (AAAI, 2015)

Search Result Diversification Based on Hierarchical Intents. - Sha Hu 002; Zhicheng Dou; Xiaojie Wang 003; Tetsuya Sakai; Ji-Rong Wen (CIKM, 2015)

Search Result Diversification Based on Query Facets. - Sha Hu 002; Zhicheng Dou; Xiaojie Wang 003; Ji-Rong Wen (J. Comput. Sci. Technol., 2015)

Overview of the NTCIR-12 IMine-2 Task. - Takehiro Yamamoto; Yiqun Liu 001; Min Zhang 006; Zhicheng Dou; Ke Zhou 003; Ilya Markov; Makoto P. Kato; Hiroaki Ohshima; Sumio Fujita (NTCIR, 2016)

RUCIR at NTCIR-12 IMINE-2 Task. - Ming Yue; Zhicheng Dou; Sha Hu 002; Jinxiu Li; Xiaojie Wang 003; Ji-Rong Wen (NTCIR, 2016)

Evaluating Search Result Diversity using Intent Hierarchies. - Xiaojie Wang 003; Zhicheng Dou; Tetsuya Sakai; Ji-Rong Wen (SIGIR, 2016)

Automatically Mining Facets for Queries from Their Search Results. - Zhicheng Dou; Zhengbao Jiang; Sha Hu 002; Ji-Rong Wen; Ruihua Song (IEEE Trans. Knowl. Data Eng., 2016)

Following the dynamic block on the Web. - Sha Hu 002; Ji-Rong Wen; Zhicheng Dou; Shuo Shang (World Wide Web, 2016)

RUCIR at the NTCIR-13 STC-2 Task. - Yutao Zhu 001; Zhicheng Dou; Xiangbo Wang; Xiaochen Zuo; Shuqi Lu; Zhengyi Ma; Xinyu Zhang 019 (NTCIR, 2017)

Overview of the NTCIR-13 We Want Web Task. - Cheng Luo 001; Tetsuya Sakai; Yiqun Liu 001; Zhicheng Dou; Chenyan Xiong; Jingfang Xu (NTCIR, 2017)

RUCIR at NTCIR-13 WWW Task. - Ming Yue; Zhicheng Dou (NTCIR, 2017)

Learning to Diversify Search Results via Subtopic Attention. - Zhengbao Jiang; Ji-Rong Wen; Zhicheng Dou; Wayne Xin Zhao; Jian-Yun Nie; Ming Yue (SIGIR, 2017)

Generating Query Facets Using Knowledge Bases. - Zhengbao Jiang; Zhicheng Dou; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2017)

Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. - Songwei Ge; Zhicheng Dou; Zhengbao Jiang; Jian-Yun Nie; Ji-Rong Wen (CIKM, 2018)

Supervised Search Result Diversification via Subtopic Attention. - Zhengbao Jiang; Zhicheng Dou; Wayne Xin Zhao; Jian-Yun Nie; Ming Yue; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2018)

Search Result Diversity Evaluation Based on Intent Hierarchies. - Xiaojie Wang 003; Ji-Rong Wen; Zhicheng Dou; Tetsuya Sakai; Rui Zhang 003 (IEEE Trans. Knowl. Data Eng., 2018)

Personalized Web Search. - Ji-Rong Wen; Zhicheng Dou; Ruihua Song (Encyclopedia of Database Systems (2nd ed.), 2018)

Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features. - Anwen Hu; Zhicheng Dou; Ji-Rong Wen (CCIR, 2019)

RUCIR at NTCIR-14 STC-3 Task. - Xiaohe Li; Jiaqing Liu; Weihao Zheng; Xiangbo Wang; Yutao Zhu 001; Zhicheng Dou (NTCIR, 2019)

A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation. - Xiaohe Li; Jiaqing Liu; Weihao Zheng; Xiangbo Wang; Yutao Zhu 001; Zhicheng Dou (NTCIR (Revised Selected Papers), 2019)

Overview of the NTCIR-14 We Want Web Task. - Jiaxin Mao; Tetsuya Sakai; Cheng Luo 001; Peng Xiao; Yiqun Liu 001; Zhicheng Dou (NTCIR, 2019)

RUCIR at the NTCIR-14 We Want Web-2 Task. - Xue Yang; Shuqi Lu; Shijun Wang; Han Zhang; Zhicheng Dou (NTCIR, 2019)

PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. - Shuqi Lu; Zhicheng Dou; Jun Xu 001; Jian-Yun Nie; Ji-Rong Wen (SIGIR, 2019)

RUCIR at TREC 2019: Conversational Assistance Track. - Xiaochen Zuo; Xue Yang; Zhicheng Dou; Ji-Rong Wen (TREC, 2019)

Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. - Anwen Hu; Zhicheng Dou; Jian-Yun Nie; Ji-Rong Wen (AAAI, 2020)

ScriptWriter: Narrative-Guided Script Generation. - Yutao Zhu 001; Ruihua Song; Zhicheng Dou; Jian-Yun Nie; Jin Zhou (ACL, 2020)

PSTIE: Time Information Enhanced Personalized Search. - Zhengyi Ma; Zhicheng Dou; Guanyue Bian; Ji-Rong Wen (CIKM, 2020)

Diversifying Search Results using Self-Attention Network. - Xubo Qin; Zhicheng Dou; Ji-Rong Wen (CIKM, 2020)

Overview of the NTCIR-15 We Want Web with CENTRE (WWW-3) Task. - Tetsuya Sakai; Sijie Tao; Zhaohao Zeng; Yukun Zheng; Jiaxin Mao; Zhumin Chu; Yiqun Liu 001; Maria Maistro; Zhicheng Dou; Nicola Ferro 001; Ian Soboroff (NTCIR, 2020)

RUCIR at the NTCIR-15 WWW-3 Task. - Xiaochen Zuo; Jing Yao; Zhicheng Dou (NTCIR, 2020)

DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. - Jiongnan Liu; Zhicheng Dou; Xiaojie Wang 003; Shuqi Lu; Ji-Rong Wen (SIGIR, 2020)

Knowledge Enhanced Personalized Search. - Shuqi Lu; Zhicheng Dou; Chenyan Xiong; Xiaojie Wang 003; Ji-Rong Wen (SIGIR, 2020)

Employing Personal Word Embeddings for Personalized Search. - Jing Yao; Zhicheng Dou; Ji-Rong Wen (SIGIR, 2020)

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)

RLPer: A Reinforcement Learning Model for Personalized Search. - Jing Yao; Zhicheng Dou; Jun Xu 001; Ji-Rong Wen (WWW, 2020)

Pchatbot: A Large-Scale Dataset for Personalized Chatbot. - Xiaohe Li; Hanxun Zhong; Yu Guo; Yueyuan Ma; Hongjin Qian; Zhanliang Liu; Zhicheng Dou; Ji-Rong Wen (CoRR, 2020)

Low-cost, bottom-up measures for evaluating search result diversification. - Zhicheng Dou; Xue Yang; Diya Li; Ji-Rong Wen; Tetsuya Sakai (Inf. Retr. J., 2020)

Deep cross-platform product matching in e-commerce. - Juan Li; Zhicheng Dou; Yutao Zhu 001; Xiaochen Zuo; Ji-Rong Wen (Inf. Retr. J., 2020)

ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation. - Yutao Zhu 001; Zhicheng Dou; Jian-Yun Nie; Ji-Rong Wen (Inf. Retr. J., 2020)

Neural Sentence Ordering Based on Constraint Graphs. - Yutao Zhu 001; Kun Zhou 002; Jian-Yun Nie; Shengchao Liu; Zhicheng Dou (AAAI, 2021)

Interaction-Based Document Matching for Implicit Search Result Diversification. - Xubo Qin; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (CCIR, 2021)

Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. - Yutao Zhu 001; Jian-Yun Nie; Zhicheng Dou; Zhengyi Ma; Xinyu Zhang 019; Pan Du 001; Xiaochen Zuo; Hao Jiang 022 (CIKM, 2021)

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. - Zhengyi Ma; Zhicheng Dou; Wei Xu 008; Xinyu Zhang 019; Hao Jiang 022; Zhao Cao; Ji-Rong Wen (CIKM, 2021)

Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. - Hongjin Qian; Zhicheng Dou; Yutao Zhu 001; Yueyuan Ma; Ji-Rong Wen (CIKM, 2021)

USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. - Jing Yao; Zhicheng Dou; Ruobing Xie; Yanxiong Lu; Zhiping Wang; Ji-Rong Wen (CIKM, 2021)

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

Few-Shot Charge Prediction with Multi-grained Features and Mutual Information. - Han Zhang; Zhicheng Dou; Yutao Zhu 001; Jirong Wen (CCL, 2021)

Content Selection Network for Document-Grounded Retrieval-Based Chatbots. - Yutao Zhu 001; Jian-Yun Nie; Kun Zhou 002; Pan Du 001; Zhicheng Dou (ECIR (1), 2021)

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. - Shuqi Lu; Di He 001; Chenyan Xiong; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (EMNLP (1), 2021)

One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. - Zhengyi Ma; Zhicheng Dou; Yutao Zhu 001; Hanxun Zhong; Ji-Rong Wen (SIGIR, 2021)

Pchatbot: A Large-Scale Dataset for Personalized Chatbot. - Hongjin Qian; Xiaohe Li; Hanxun Zhong; Yu Guo; Yueyuan Ma; Yutao Zhu 001; Zhanliang Liu; Zhicheng Dou; Ji-Rong Wen (SIGIR, 2021)

Modeling Intent Graph for Search Result Diversification. - Zhan Su; Zhicheng Dou; Yutao Zhu 001; Xubo Qin; Ji-Rong Wen (SIGIR, 2021)

Answer Complex Questions: Path Ranker Is All You Need. - Xinyu Zhang 019; Ke Zhan; Enrui Hu; Chengzhen Fu; Lan Luo; Hao Jiang 022; Yantao Jia; Fan Yu; Zhicheng Dou; Zhao Cao; Lei Chen 002 (SIGIR, 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)

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. - Yutao Zhu 001; Jian-Yun Nie; Kun Zhou 002; Pan Du 001; Hao Jiang 022; Zhicheng Dou (SIGIR, 2021)

FedPS: A Privacy Protection Enhanced Personalized Search Framework. - Jing Yao; Zhicheng Dou; Ji-Rong Wen (WWW, 2021)

Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. - Shuqi Lu; Chenyan Xiong; Di He 001; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (CoRR, 2021)

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. - Yuqi Huo; Manli Zhang; Guangzhen Liu; Haoyu Lu; Yizhao Gao 004; Guoxing Yang; Jingyuan Wen; Heng Zhang; Baogui Xu; Weihao Zheng; Zongzheng Xi; Yueqian Yang; et al. (CoRR, 2021)

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator. - Hao Jiang 022; Yutao Zhu 001; Xinyu Zhang 019; Zhicheng Dou; Pan Du 001; Te Pi; Yantao Jia (CoRR, 2021)

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot. - Hongjin Qian; Zhicheng Dou; Yutao Zhu 001; Yueyuan Ma; Ji-Rong Wen (CoRR, 2021)

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker. - Ruizhi Pu; Xinyu Zhang 019; Ruofei Lai; Zikai Guo; Yinxia Zhang; Hao Jiang 022; Yongkang Wu; Yantao Jia; Zhicheng Dou; Zhao Cao (CoRR, 2021)

Learning to Select Historical News Articles for Interaction based Neural News Recommendation. - Peitian Zhang; Zhicheng Dou; Jing Yao (CoRR, 2021)

Towards More Effective and Economic Sparsely-Activated Model. - Hao Jiang 022; Ke Zhan; Jianwei Qu; Yongkang Wu; Zhaoye Fei; Xinyu Zhang 019; Lei Chen 002; Zhicheng Dou; Xipeng Qiu; Zikai Guo; Ruofei Lai; Jiawen Wu 002; et al. (CoRR, 2021)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 2021)

RLPS: A Reinforcement Learning-Based Framework for Personalized Search. - Jing Yao; Zhicheng Dou; Jun Xu 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2021)

From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. - Yutao Zhu 001; Jian-Yun Nie; Yixuan Su; Haonan Chen 005; Xinyu Zhang 019; Zhicheng Dou (CIKM, 2022)

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. - Haonan Chen 005; Zhicheng Dou; Yutao Zhu 001; Zhao Cao; Xiaohua Cheng; Ji-Rong Wen (CIKM, 2022)

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. - Zhaoye Fei; Yu Tian; Yongkang Wu; Xinyu Zhang 019; Yutao Zhu 001; Zheng Liu 011; Jiawen Wu 002; Dejiang Kong; Ruofei Lai; Zhao Cao; Zhicheng Dou; Xipeng Qiu (COLING, 2022)

MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling. - Zhaoheng Huang; Zhicheng Dou; Yutao Zhu 001; Zhengyi Ma (EMNLP (Findings), 2022)

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. - Kelong Mao; Zhicheng Dou; Hongjin Qian; Fengran Mo; Xiaohua Cheng; Zhao Cao (EMNLP, 2022)

Explicit Query Rewriting for Conversational Dense Retrieval. - Hongjin Qian; Zhicheng Dou (EMNLP, 2022)

Knowledge Enhanced Search Result Diversification. - Zhan Su; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (KDD, 2022)

Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. - Hanxun Zhong; Zhicheng Dou; Yutao Zhu 001; Hongjin Qian; Ji-Rong Wen (NAACL-HLT, 2022)

RUCIR at the NTCIR-16 Session Search (SS) Task. - Haonan Chen 005; Zhicheng Dou (NTCIR, 2022)

Overview of NTCIR-16. - Takehiro Yamamoto; Zhicheng Dou (NTCIR, 2022)

Webformer: Pre-training with Web Pages for Information Retrieval. - Yu Guo; Zhengyi Ma; Jiaxin Mao; Hongjin Qian; Xinyu Zhang 019; Hao Jiang 022; Zhao Cao; Zhicheng Dou (SIGIR, 2022)

Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. - Kelong Mao; Zhicheng Dou; Hongjin Qian (SIGIR, 2022)

Generating Clarifying Questions with Web Search Results. - Ziliang Zhao; Zhicheng Dou; Jiaxin Mao; Ji-Rong Wen (SIGIR, 2022)

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

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. - Chengzhen Fu; Enrui Hu; Letian Feng; Zhicheng Dou; Yantao Jia; Lei Chen 002; Fan Yu; Zhao Cao (WSDM, 2022)

Improving Session Search by Modeling Multi-Granularity Historical Query Change. - Xiaochen Zuo; Zhicheng Dou; Ji-Rong Wen (WSDM, 2022)

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

A Category-aware Multi-interest Model for Personalized Product Search. - Jiongnan Liu; Zhicheng Dou; Qiannan Zhu; Ji-Rong Wen (WWW, 2022)

A Gain-Tuning Dynamic Negative Sampler for Recommendation. - Qiannan Zhu; Haobo Zhang; Qing He 006; Zhicheng Dou (WWW, 2022)

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models. - Daniel Gao; Yantao Jia; Lei Li; Chengzhen Fu; Zhicheng Dou; Hao Jiang 022; Xinyu Zhang 019; Lei Chen 002; Zhao Cao (CoRR, 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)

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored? - Jiawen Wu 002; Xinyu Zhang 019; Yutao Zhu 001; Zheng Liu 011; Zikai Guo; Zhaoye Fei; Ruofei Lai; Yongkang Wu; Zhao Cao; Zhicheng Dou (CoRR, 2022)

Looking Back on the Past: Active Learning With Historical Evaluation Results. - Jing Yao; Zhicheng Dou; Jian-Yun Nie; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2022)

Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. - Jing Yao; Zhicheng Dou; Ji-Rong Wen (ACM Trans. Inf. Syst., 2022)

Leveraging Narrative to Generate Movie Script. - Yutao Zhu 001; Ruihua Song; Jian-Yun Nie; Pan Du 001; Zhicheng Dou; Jin Zhou (ACM Trans. Inf. Syst., 2022)

Report on the 16th Round of NII Testbeds and Community for Information Access Research (NTCIR-16). - Takehiro Yamamoto; Zhicheng Dou; Noriko Kando; Charles L. A. Clarke; Makoto P. Kato; Yiqun Liu 001 (SIGIR Forum, 2022)

Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. - Yuhang Ye 002; Zhonghua Li; Zhicheng Dou; Yutao Zhu 001; Changwang Zhang; Shangquan Wu; Zhao Cao (AAAI, 2023)

Search-Oriented Conversational Query Editing. - Kelong Mao; Zhicheng Dou; Bang Liu; Hongjin Qian; Fengran Mo; Xiangli Wu; Xiaohua Cheng; Zhao Cao (ACL (Findings), 2023)

Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning. - Yongkang Wu; Meng Han; Yutao Zhu 001; Lei Li; Xinyu Zhang 019; Ruofei Lai; Xiaoguang Li; Yuanhang Ren; Zhicheng Dou; Zhao Cao (ACL (Findings), 2023)

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; Ji-Rong Wen (CIKM, 2023)

Learning on Structured Documents for Conditional Question Answering. - Zihan Wang 010; Hongjin Qian; Zhicheng Dou (CCL, 2023)

Case Retrieval for Legal Judgment Prediction in Legal Artificial Intelligence. - Han Zhang; Zhicheng Dou (CCL, 2023)

Topic-Enhanced Personalized Retrieval-Based Chatbot. - Hongjin Qian; Zhicheng Dou (ECIR (2), 2023)

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

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. - Kelong Mao; Zhicheng Dou; Fengran Mo; Jiewen Hou; Haonan Chen 005; Hongjin Qian (EMNLP (Findings), 2023)

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jing Yao (EMNLP, 2023)

Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. - Jing Yao; Zhicheng Dou; Jian-Yun Nie; Ji-Rong Wen (ICDE, 2023)

Contrastive Learning for User Sequence Representation in Personalized Product Search. - Shitong Dai; Jiongnan Liu; Zhicheng Dou; Haonan Wang; Lin Liu; Bo Long; Ji-Rong Wen (KDD, 2023)

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

Improving Search Clarification with Structured Information Extracted from Search Results. - Ziliang Zhao; Zhicheng Dou; Yu Guo; Zhao Cao; Xiaohua Cheng (KDD, 2023)

Overview of NTCIR-17. - Takehiro Yamamoto; Zhicheng Dou (NTCIR, 2023)

JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. - Jiongnan Liu; Zhicheng Dou; Guoyu Tang; Sulong Xu (SIGIR, 2023)

Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. - Qingyu Bing; Qiannan Zhu; Zhicheng Dou (WSDM, 2023)

Heterogeneous Graph-based Context-aware Document Ranking. - Shuting Wang 002; Zhicheng Dou; Yutao Zhu 001 (WSDM, 2023)

Learning Denoised and Interpretable Session Representation for Conversational Search. - Kelong Mao; Hongjin Qian; Fengran Mo; Zhicheng Dou; Bang Liu; Xiaohua Cheng; Zhao Cao (WWW, 2023)

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

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. - Kelong Mao; Zhicheng Dou; Haonan Chen 005; Fengran Mo; Hongjin Qian (CoRR, 2023)

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. - Hongjing Qian; Yutao Zhu 001; Zhicheng Dou; Haoqi Gu; Xinyu Zhang 019; Zheng Liu 011; Ruofei Lai; Zhao Cao; Jian-Yun Nie; Ji-Rong Wen (CoRR, 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)

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit. - Jiongnan Liu; Jiajie Jin; Zihan Wang 010; Jiehan Cheng; Zhicheng Dou; Ji-Rong Wen (CoRR, 2023)

Large Language Models for Information Retrieval: A Survey. - Yutao Zhu 001; Huaying Yuan; Shuting Wang 002; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Zhicheng Dou; Ji-Rong Wen (CoRR, 2023)

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. - Hongjin Qian; Zhicheng Dou; Jiejun Tan; Haonan Chen 005; Haoqi Gu; Ruofei Lai; Xinyu Zhang 019; Zhao Cao; Ji-Rong Wen (CoRR, 2023)

Retrieve Anything To Augment Large Language Models. - Peitian Zhang; Shitao Xiao; Zheng Liu 011; Zhicheng Dou; Jian-Yun Nie (CoRR, 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Integrating Representation and Interaction for Context-Aware Document Ranking. - Haonan Chen 005; Zhicheng Dou; Qiannan Zhu; Xiaochen Zuo; Ji-Rong Wen (ACM Trans. Inf. Syst., 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)

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. - Jing Yao; Zheng Liu 011; Junhan Yang; Zhicheng Dou; Xing Xie 001; Ji-Rong Wen (ACM Trans. Intell. Syst. Technol., 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)

GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. - Xubo Qin; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

DeepQFM: a deep learning based query facets mining method. - Zhirui Deng; Zhicheng Dou; Ji-Rong Wen (Inf. Retr. J., 2023)

Contrastive Learning for Legal Judgment Prediction. - Han Zhang; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

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

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. - Yutao Zhu 001; Peitian Zhang; Chenghao Zhang 001; Yifei Chen 001; Binyu Xie; Zheng Liu 011; Ji-Rong Wen; Zhicheng Dou (ACL (1), 2024)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. - Haonan Chen 005; Zhicheng Dou; Kelong Mao; Jiongnan Liu; Ziliang Zhao (ACL (1), 2024)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. - Yiruo Cheng; Kelong Mao; Zhicheng Dou (ACL (1), 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)

Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. - Jiejun Tan; Zhicheng Dou; Yutao Zhu 001; Peidong Guo; Kun Fang; Ji-Rong Wen (ACL (1), 2024)

A Multi-Task Embedder For Retrieval Augmented LLMs. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Zhicheng Dou; Jian-Yun Nie (ACL (1), 2024)

Enhancing Robustness of LLM-Synthetic Text Detectors for Academic Writing: A Comprehensive Analysis. - Zhicheng Dou; Yuchen Guo; Ching-Chun Chang; Huy H. Nguyen; Isao Echizen (AINA (4), 2024)

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

Learning Dynamic Multi-attribute Interest for Personalized Product Search. - Yutong Bai; Zhicheng Dou; Ji-Rong Wen (EMNLP (Findings), 2024)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. - Chenlong Deng; Kelong Mao; Zhicheng Dou (EMNLP, 2024)

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. - Chenlong Deng; Kelong Mao; Yuyao Zhang; Zhicheng Dou (EMNLP (Findings), 2024)

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. - Kelong Mao; Zheng Liu 011; Hongjin Qian; Fengran Mo; Chenlong Deng; Zhicheng Dou (EMNLP (Findings), 2024)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. - Kelong Mao; Chenlong Deng; Haonan Chen 005; Fengran Mo; Zheng Liu 011; Tetsuya Sakai; Zhicheng Dou (EMNLP, 2024)

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training. - Haonan Chen 005; Zhicheng Dou; Xuetong Hao; Yunhao Tao; Shiren Song; Zhenli Sheng (KDD, 2024)

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

JDivPS: A Diversified Product Search Dataset. - Zhirui Deng; Zhicheng Dou; Yutao Zhu 001; Xubo Qin; Pengchao Cheng; Jiangxu Wu; Hao Wang (SIGIR, 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)

CL4DIV: A Contrastive Learning Framework for Search Result Diversification. - Zhirui Deng; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (WSDM, 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)

Mining Exploratory Queries for Conversational Search. - Wenhan Liu; Ziliang Zhao; Yutao Zhu 001; Zhicheng Dou (WWW, 2024)

Generating Multi-turn Clarification for Web Information Seeking. - Ziliang Zhao; Zhicheng Dou (WWW, 2024)

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation. - Haonan Chen 005; Zhicheng Dou; Jiaxin Mao (CoRR, 2024)

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

UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models. - Zhaoheng Huang; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (CoRR, 2024)

Extending Llama-3's Context Ten-Fold Overnight. - Peitian Zhang; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Hongjin Qian; Qiwei Ye; Zhicheng Dou (CoRR, 2024)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. - Jiajie Jin; Yutao Zhu 001; Xinyu Yang; Chenghao Zhang 001; Zhicheng Dou (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)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation. - Shuting Wang 002; Jiongnan Liu; Shiren Song; Jiehan Cheng; Yuqi Fu; Peidong Guo; Kun Fang; Yutao Zhu 001; Zhicheng Dou (CoRR, 2024)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task. - Wenhan Liu; Yutao Zhu 001; Zhicheng Dou (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery. - Hongjin Qian; Peitian Zhang; Zheng Liu 011; Kelong Mao; 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)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (CoRR, 2024)

A Survey of Conversational Search. - Fengran Mo; Kelong Mao; Ziliang Zhao; Hongjin Qian; Haonan Chen 005; Yiruo Cheng; Xiaoxi Li; Yutao Zhu 001; Zhicheng Dou; Jian-Yun Nie (CoRR, 2024)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. - Yiruo Cheng; Kelong Mao; Ziliang Zhao; Guanting Dong; Hongjin Qian; Yongkang Wu; Tetsuya Sakai; Ji-Rong Wen; Zhicheng Dou (CoRR, 2024)

From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning. - Zhirui Deng; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen; Ruibin Xiong; Mang Wang; Weipeng Chen (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)

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)

Boosting Long-Context Management via Query-Guided Activation Refilling. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Zhicheng Dou; Defu Lian (CoRR, 2024)

OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. - Shuting Wang 002; Jiejun Tan; Zhicheng Dou; Ji-Rong Wen (CoRR, 2024)

Integrated Personalized and Diversified Search Based on Search Logs. - Jiongnan Liu; Zhicheng Dou; Jian-Yun Nie; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. - Qiannan Zhu; Haobo Zhang; Qing He 006; Zhicheng Dou (IEEE Trans. Knowl. Data Eng., 2024)

Personalized and Diversified: Ranking Search Results in an Integrated Way. - Shuting Wang 002; Zhicheng Dou; Jiongnan Liu; Qiannan Zhu; Ji-Rong Wen (ACM Trans. Inf. Syst., 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)

Multi-grained Document Modeling for Search Result Diversification. - Zhirui Deng; Zhicheng Dou; Zhan Su; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. - Qi Liu 071; Gang Guo; Jiaxin Mao; Zhicheng Dou; Ji-Rong Wen; Hao Jiang 022; Xinyu Zhang 019; Zhao Cao (ACM Trans. Inf. Syst., 2024)

Passage-aware Search Result Diversification. - Zhan Su; Zhicheng Dou; Yutao Zhu 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

Query-Oriented Data Augmentation for Session Search. - Haonan Chen 005; Zhicheng Dou; Yutao Zhu 001; 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)

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. - Yutao Zhu 001; Zhaoheng Huang; Zhicheng Dou; Ji-Rong Wen (AAAI, 2025)

Descriptive and Discriminative Document Identifiers for Generative Retrieval. - Jiehan Cheng; Zhicheng Dou; Yutao Zhu 001; Xiaoxi Li (AAAI, 2025)

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (AAAI, 2025)

mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data. - Haonan Chen 005; Liang Wang 046; Nan Yang 002; Yutao Zhu 001; Ziliang Zhao; Furu Wei; Zhicheng Dou (ACL (Findings), 2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. - Chenlong Deng; Zhisong Zhang; Kelong Mao; Shuaiyi Li; Xinting Huang; Dong Yu 001; Zhicheng Dou (ACL (1), 2025)

Progressive Multimodal Reasoning via Active Retrieval. - Guanting Dong; Chenghao Zhang 001; Mengjie Deng; Yutao Zhu 001; Zhicheng Dou; Ji-Rong Wen (ACL (1), 2025)

RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. - Guanting Dong; Jiajie Jin; Xiaoxi Li; Yutao Zhu 001; Zhicheng Dou; Ji-Rong Wen (ACL (1), 2025)

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Yongkang Wu; Zhonghua Li; Ye Qi; Zhicheng Dou (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)

LLMs + Persona-Plug = Personalized LLMs. - Jiongnan Liu; Yutao Zhu 001; Shuting Wang 002; Xiaochi Wei; Erxue Min; Yu Lu; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (ACL (1), 2025)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Ziliang Zhao; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (ACL (1), 2025)

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Zhicheng Dou; Defu Lian (ACL (1), 2025)

Neuro-Symbolic Query Compiler. - Yuyao Zhang; Zhicheng Dou; Xiaoxi Li; Jiajie Jin; Yongkang Wu; Zhonghua Li; Ye Qi; Ji-Rong Wen (ACL (Findings), 2025)

P3: Prompts Promote Prompting. - Xinyu Zhang 019; Yuanquan Hu; Fangchao Liu; Zhicheng Dou (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)

RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation. - Shuting Wang 002; Xin Yu; Mang Wang; Weipeng Chen; Yutao Zhu 001; Zhicheng Dou (COLING, 2025)

FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation. - Huaying Yuan; Ziliang Zhao; Shuting Wang 002; Shitao Xiao; Minheng Ni; Zheng Liu 011; Zhicheng Dou (COLING, 2025)

Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval. - Haobo Zhang; Qiannan Zhu; Zhicheng Dou (COLING, 2025)

A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation. - Huimin Zeng; Xiaojie Wang 003; Anoop Jain; Zhicheng Dou; Dong Wang (ICLR, 2025)

Long Context Compression with Activation Beacon. - Peitian Zhang; Zheng Liu 011; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou (ICLR, 2025)

Embedding Prior Task-specific Knowledge into Language Models for Context-aware Document Ranking. - Shuting Wang 002; Yutao Zhu 001; Zhicheng Dou (KDD (1), 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)

Little Giants: Synthesizing High-Quality Embedding Data at Scale. - Haonan Chen 005; Liang Wang 046; Nan Yang 002; Yutao Zhu 001; Ziliang Zhao; Furu Wei; Zhicheng Dou (NAACL (Long Papers), 2025)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. - Yiruo Cheng; Kelong Mao; Ziliang Zhao; Guanting Dong; Hongjin Qian; Yongkang Wu; Tetsuya Sakai; Ji-Rong Wen; Zhicheng Dou (NAACL (Findings), 2025)

FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. - Chen Xu 010; Zhirui Deng; Clara Rus; Xiaopeng Ye; Yuanna Liu; Jun Xu 001; Zhicheng Dou; Ji-Rong Wen; Maarten de Rijke (SIGIR, 2025)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. - Guanting Dong; Yutao Zhu 001; Chenghao Zhang 001; Zechen Wang; Ji-Rong Wen; Zhicheng Dou (WWW, 2025)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. - Jiajie Jin; Yutao Zhu 001; Zhicheng Dou; Guanting Dong; Xinyu Yang; Chenghao Zhang 001; Tong Zhao; Zhao Yang 006; Ji-Rong Wen (WWW (Companion Volume), 2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. - Hongjin Qian; Zheng Liu 011; Peitian Zhang; Kelong Mao; Defu Lian; Zhicheng Dou; Tiejun Huang 001 (WWW, 2025)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. - Jiejun Tan; Zhicheng Dou; Wen Wang 016; Mang Wang; Weipeng Chen; Ji-Rong Wen (WWW, 2025)

Collaborative Optimization Approach for Workflow Agents in User Behavior Modeling. - Xinyu Zhang 019; Ran Dou; Enrui Hu; Minjun Zhao; Yangkai Ding; Zhicheng Dou (WWW (Companion Volume), 2025)

Disentangled hyperbolic representation learning for heterogeneous graphs. - Qijie Bai; Changli Nie; Haiwei Zhang; Zhicheng Dou; Xiaojie Yuan (Knowl. Based Syst., 2025)

Improving GenIR Systems Based on User Feedback. - Qingyao Ai; Zhicheng Dou; Min Zhang 006 (CoRR, 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)

Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values. - Jing Yao; Xiaoyuan Yi; Shitong Duan; Jindong Wang 001; Yuzhuo Bai; Muhua Huang; Peng Zhang 060; Tun Lu; Zhicheng Dou; Maosong Sun 001; Xing Xie 001 (CoRR, 2025)

Chain-of-Retrieval Augmented Generation. - Liang Wang 046; Haonan Chen 005; Nan Yang 002; Xiaolong Huang; Zhicheng Dou; Furu Wei (CoRR, 2025)

CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling. - Zhaoheng Huang; Yutao Zhu 001; Zhicheng Dou; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2025)

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models. - Shuting Wang 002; Haihong Tang; Zhicheng Dou; Chenyan Xiong (CoRR, 2025)

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms. - Chen Xu 010; Zhirui Deng; Clara Rus; Xiaopeng Ye; Yuanna Liu; Jun Xu 001; Zhicheng Dou; Ji-Rong Wen; Maarten de Rijke (CoRR, 2025)

MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos. - Huaying Yuan; Jian Ni; Yueze Wang; Junjie Zhou 001; Zhengyang Liang; Zheng Liu 011; Zhao Cao; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks. - Hongjin Qian; Zheng Liu 011; Chao Gao; Yankai Wang; Defu Lian; Zhicheng Dou (CoRR, 2025)

Memory-enhanced Retrieval Augmentation for Long Video Understanding. - Huaying Yuan; Zheng Liu 011; Minhao Qin; Hongjin Qian; Y. Shu; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Lixin Su; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

User Behavior Simulation with Large Language Model-based Agents. - Lei Wang 198; Jingsen Zhang; Hao Yang 045; Zhiyuan Chen; Jiakai Tang; Zeyu Zhang 007; Xu Chen 017; Yankai Lin; Hao Sun 002; Ruihua Song; Xin Zhao 018; Jun Xu 001; et al. (ACM Trans. Inf. Syst., 2025)

CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization. - Jing Yao; Xiaoyuan Yi; Jindong Wang 001; Zhicheng Dou; Xing Xie 001 (CoRR, 2025)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability. - Xiaoxi Li; Jiajie Jin; Guanting Dong; Hongjin Qian; Yutao Zhu 001; Yongkang Wu; Ji-Rong Wen; Zhicheng Dou (CoRR, 2025)

Defending against Indirect Prompt Injection by Instruction Detection. - Tongyu Wen; Chenglong Wang 004; Xiyuan Yang; Haoyu Tang; Yueqi Xie; Lingjuan Lyu; Zhicheng Dou; Fangzhao Wu (CoRR, 2025)

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Yongkang Wu; Zhonghua Li; Qi Ye; Zhicheng Dou (CoRR, 2025)

Neuro-Symbolic Query Compiler. - Yuyao Zhang; Zhicheng Dou; Xiaoxi Li; Jiajie Jin; Yongkang Wu; Zhonghua Li; Qi Ye; Ji-Rong Wen (CoRR, 2025)

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. - Yutao Zhu 001; Jiajie Jin; Hongjin Qian; Zheng Liu 011; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. - Guanting Dong; Yifei Chen 001; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Yutao Zhu 001; Hangyu Mao; Guorui Zhou; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes. - Jiehan Cheng; Zhicheng Dou (CoRR, 2025)

PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. - Shuting Wang 002; Zhicheng Dou; Kexiang Wang; Dehong Ma; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 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)

A Unified Prompt-aware Framework for Personalized Search and Explanation Generation. - Haobo Zhang; Qiannan Zhu; Zhicheng Dou (ACM Trans. Inf. Syst., 2025)

Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents. - Shuting Wang 002; Yunqi Liu; Zixin Yang; Ning Hu; Zhicheng Dou; Chenyan Xiong (CoRR, 2025)

Generate, Not Recommend: Personalized Multimodal Content Generation. - Jiongnan Liu; Zhicheng Dou; Ning Hu; Chenyan Xiong (CoRR, 2025)

Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing. - Yuchen Guo; Zhicheng Dou; Huy H. Nguyen; Ching-Chun Chang; Saku Sugawara; Isao Echizen (CoRR, 2025)

VideoDeepResearch: Long Video Understanding With Agentic Tool Using. - Huaying Yuan; Zheng Liu 011; Junjie Zhou 001; Hongjin Qian; Ji-Rong Wen; Zhicheng Dou (CoRR, 2025)

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings. - Haonan Chen 005; Hong Liu; Yuping Luo; Liang Wang 046; Nan Yang 002; Furu Wei; Zhicheng Dou (CoRR, 2025)

Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Zhao Yang 006; Hongjin Qian; Zhicheng Dou (CoRR, 2025)

Agentic Reinforced Policy Optimization. - Guanting Dong; Hangyu Mao; Kai Ma; Licheng Bao; Yifei Chen 001; Zhongyuan Wang 006; Zhongxia Chen; Jiazhen Du; Huiyang Wang; Fuzheng Zhang; Guorui Zhou; Yutao Zhu 001; et al. (CoRR, 2025)

Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge. - Jiongnan Liu; Zhicheng Dou; Jian-Yun Nie; Zhenlin Chen; Guoyu Tang; Sulong Xu; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. - Wenhan Liu; Xinyu Ma; Weiwei Sun 001; Yutao Zhu 001; Yuchen Li; Dawei Yin; Zhicheng Dou (CoRR, 2025)

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches. - Jiejun Tan; Zhicheng Dou; Yan Yu; Jiehan Cheng; Qiang Ju; Jian Xie; Ji-Rong Wen (CoRR, 2025)

Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration. - Yifei Chen 001; Guanting Dong; Yutao Zhu 001; Zhicheng Dou (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)