| 2026 | AAAI | Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources. | Zhaoheng Huang, Yutao Zhu, Jirong Wen, Zhicheng Dou |
| 2026 | AAAI | HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches. | Jiejun Tan, Zhicheng Dou, Yan Yu, Jiehan Cheng, Lifeng Liu, Jian Xie, Jirong Wen |
| 2026 | ACL | ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration. | Yifei Chen, Guanting Dong, Zhicheng Dou |
| 2026 | ACL | e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings. | Haonan Chen, Sicheng Gao, Radu Timofte, Tetsuya Sakai, Zhicheng Dou |
| 2026 | ACL | MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings. | Haonan Chen, Hong Liu, Yuping Luo, Liang Wang, Nan Yang, Furu Wei, Zhicheng Dou |
| 2026 | ACL | ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use. | Mengjie Deng, Guanting Dong, Zhicheng Dou |
| 2026 | ACL | RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection. | Zhaoheng Huang, Dacheng Wen, Yutao Zhu, Xiaoying Lian, Yushi Liang, Kai Hao, Nan Li, Liangjie Zhang, Qi Zhang, Ji-Rong Wen, Zhicheng Dou, Fangzhao Wu |
| 2026 | ACL | LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation. | Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning. | Yuyang Hu, Jiongnan Liu, Jiejun Tan, Yutao Zhu, Zhicheng Dou |
| 2026 | ACL | FinSight: Towards Real-World Financial Deep Research. | Jiajie Jin, Yuyao Zhang, Yimeng Xu, Hongjin Qian, Yutao Zhu, Zhicheng Dou |
| 2026 | ACL | ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. | Wenhan Liu, Xinyu Ma, Weiwei Sun, Yutao Zhu, Yuchen Li, Dawei Yin, Zhicheng Dou |
| 2026 | ACL | Agentic-R: Learning to Retrieve for Agentic Search. | Wenhan Liu, Xinyu Ma, Yutao Zhu, Yuchen Li, Daiting Shi, Dawei Yin, Zhicheng Dou |
| 2026 | ACL | EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. | Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | Reasoning-Aware AIGC Detection via Alignment and Reinforcement. | Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou |
| 2026 | ACL | PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Papers. | Lei Xiong, Huaying Yuan, Zheng Liu, Zhao Cao, Zhicheng Dou |
| 2026 | ACL | GLARE: Agentic Reasoning for Legal Judgment Prediction. | Xinyu Yang, Chenlong Deng, Zhicheng Dou |
| 2026 | ACL | Web Sitemap Knowledge Can Enhance Autonomous Browsing. | Yuyao Zhang, Hongyu Lu, Jiajie Jin, Hongjin Qian, Shiyu Li, Zhao Yang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | R⌃3AG: Retriever Routing for Retrieval-Augmented Generation. | Tong Zhao, Yutao Zhu, Yucheng Tian, Zhicheng Dou |
| 2026 | ACL | ATIR: Towards Audio-Text Interleaved Contextual Retrieval. | Tong Zhao, Chenghao Zhang, Yutao Zhu, Zhicheng Dou |
| 2026 | WWW | Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. | Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | WWW | DeepAgent: A General Reasoning Agent with Scalable Toolsets. | Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou |
| 2026 | SIGIR | Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. | Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2026 | SIGIR | HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search. | Jiajie Jin, Xiaoxi Li, Yuyao Zhang, Guanting Dong, Zhao Yang, Yutao Zhu, Zhicheng Dou |
| 2026 | SIGIR | Internalizing Explicit Reasoning into Latent Space for Dense Retrieval. | Jiajie Jin, Yanzhao Zhang, Mingxin Li, Dingkun Long, Pengjun Xie, Yutao Zhu, Zhicheng Dou |
| 2026 | SIGIR | SmartSearch: Process Reward-Guided Query Refinement for Search Agents. | Tongyu Wen, Guanting Dong, Zhicheng Dou |
| 2026 | SIGIR | Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation. | Chenghao Zhang, Guanting Dong, Xinyu Yang, Zhicheng Dou |
| 2026 | SIGIR | TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models. | Liancheng Zhang, Xiaoxi Li, Zhicheng Dou |
| 2025 | AAAI | One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. | Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen |
| 2025 | AAAI | Descriptive and Discriminative Document Identifiers for Generative Retrieval. | Jiehan Cheng, Zhicheng Dou, Yutao Zhu, Xiaoxi Li |
| 2025 | AAAI | Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. | Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation. | Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie |
| 2025 | ACL | mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data. | Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen |
| 2025 | ACL | 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, Zhicheng Dou |
| 2025 | ACL | Progressive Multimodal Reasoning via Active Retrieval. | Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. | Guanting Dong, Jiajie Jin, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. | Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu, Yongkang Wu, Zhonghua Li, Ye Qi, Zhicheng Dou |
| 2025 | ACL | RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation. | Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Ye Qi, Zhicheng Dou |
| 2025 | ACL | LLMs + Persona-Plug = Personalized LLMs. | Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | ACL | Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. | Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | ACL | Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. | Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian |
| 2025 | ACL | Neuro-Symbolic Query Compiler. | Yuyao Zhang, Zhicheng Dou, Xiaoxi Li, Jiajie Jin, Yongkang Wu, Zhonghua Li, Ye Qi, Ji-Rong Wen |
| 2025 | ACL | P3: Prompts Promote Prompting. | Xinyu Zhang, Yuanquan Hu, Fangchao Liu, Zhicheng Dou |
| 2025 | CIKM | Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. | Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou |
| 2025 | CIKM | DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. | Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | CIKM | TimeRAG: Enhancing Complex Temporal Reasoning with Search Engine Augmentation. | Zhao Wang, Ziliang Zhao, Zhicheng Dou |
| 2025 | CIKM | ClariLM: Enhancing Open-domain Clarification Ability for Large Language Models. | Ziliang Zhao, Haonan Chen, Shiren Song, Jian Xie, Zhicheng Dou |
| 2025 | CIKM | FollowGPT: A Framework of Follow-up Question Generation for Large Language Models via Conversation Log Mining. | Ziliang Zhao, Shiren Song, Zhicheng Dou |
| 2025 | COLING | How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA. | Yujia Zhou, Zheng Liu, Zhicheng Dou |
| 2025 | COLING | RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation. | Shuting Wang, Xin Yu, Mang Wang, Weipeng Chen, Yutao Zhu, Zhicheng Dou |
| 2025 | COLING | FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation. | Huaying Yuan, Ziliang Zhao, Shuting Wang, Shitao Xiao, Minheng Ni, Zheng Liu, Zhicheng Dou |
| 2025 | COLING | Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval. | Haobo Zhang, Qiannan Zhu, Zhicheng Dou |
| 2025 | EMNLP | Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency. | Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2025 | EMNLP | Search-o1: Agentic Search-Enhanced Large Reasoning Models. | Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou |
| 2025 | EMNLP | CoRanking: Collaborative Ranking with Small and Large Ranking Agents. | Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | EMNLP | OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. | Shuting Wang, Jiejun Tan, Zhicheng Dou, Ji-Rong Wen |
| 2025 | EMNLP | Defending against Indirect Prompt Injection by Instruction Detection. | Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu |
| 2025 | EMNLP | Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. | Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ICLR | A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation. | Huimin Zeng, Xiaojie Wang, Anoop Jain, Zhicheng Dou, Dong Wang |
| 2025 | ICLR | Long Context Compression with Activation Beacon. | Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou |
| 2025 | IJCNN | 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 |
| 2025 | KDD | Embedding Prior Task-specific Knowledge into Language Models for Context-aware Document Ranking. | Shuting Wang, Yutao Zhu, Zhicheng Dou |
| 2025 | KDD | 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 |
| 2025 | KDD | Retrieving Intent-covering Demonstrations for Clarification Generation in Conversational Search Systems. | Ziliang Zhao, Changle Qu, Zhicheng Dou, Haonan Chen, Jiajie Jin |
| 2025 | NAACL | 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 |
| 2025 | NAACL | Little Giants: Synthesizing High-Quality Embedding Data at Scale. | Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou |
| 2025 | SMC | KGSS:Knowledge-guided Sample Selection for Prompt Generation in Large Language Model. | Yan Chen, Guang Yang, Yutao Zhu, Zhicheng Dou, Lifang Wu |
| 2025 | WWW | Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. | Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou |
| 2025 | WWW | FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. | Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen |
| 2025 | WWW | MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. | Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang |
| 2025 | WWW | HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. | Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen |
| 2025 | WWW | Collaborative Optimization Approach for Workflow Agents in User Behavior Modeling. | Xinyu Zhang, Ran Dou, Enrui Hu, Minjun Zhao, Yangkai Ding, Zhicheng Dou |
| 2025 | SIGIR | FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. | Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2024 | AAAI | UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models. | Xiaoxi Li, Yujia Zhou, Zhicheng Dou |
| 2024 | ACL | INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. | Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou |
| 2024 | ACL | Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. | Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao |
| 2024 | ACL | Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. | Yiruo Cheng, Kelong Mao, Zhicheng Dou |
| 2024 | ACL | 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 |
| 2024 | ACL | BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence. | Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou |
| 2024 | ACL | Grounding Language Model with Chunking-Free In-Context Retrieval. | Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou |
| 2024 | ACL | 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, Ji-Rong Wen |
| 2024 | ACL | A Multi-Task Embedder For Retrieval Augmented LLMs. | Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie |
| 2024 | AINA | 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 |
| 2024 | CIKM | Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems. | Ziliang Zhao, Zhicheng Dou, Yujia Zhou |
| 2024 | EMNLP | Learning Dynamic Multi-attribute Interest for Personalized Product Search. | Yutong Bai, Zhicheng Dou, Ji-Rong Wen |
| 2024 | EMNLP | Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. | Chenlong Deng, Kelong Mao, Zhicheng Dou |
| 2024 | EMNLP | Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. | Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou |
| 2024 | EMNLP | RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. | Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou |
| 2024 | EMNLP | ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. | Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou |
| 2024 | KDD | Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training. | Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng |
| 2024 | WWW | Metacognitive Retrieval-Augmented Large Language Models. | Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou |
| 2024 | WWW | Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. | Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou |
| 2024 | WWW | Information Retrieval Meets Large Language Models. | Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie |
| 2024 | WWW | Mining Exploratory Queries for Conversational Search. | Wenhan Liu, Ziliang Zhao, Yutao Zhu, Zhicheng Dou |
| 2024 | WWW | Generating Multi-turn Clarification for Web Information Seeking. | Ziliang Zhao, Zhicheng Dou |
| 2024 | SIGIR | JDivPS: A Diversified Product Search Dataset. | Zhirui Deng, Zhicheng Dou, Yutao Zhu, Xubo Qin, Pengchao Cheng, Jiangxu Wu, Hao Wang |
| 2024 | SIGIR | CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks. | Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu |
| 2024 | SIGIR | Generative Retrieval via Term Set Generation. | Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao |
| 2024 | WSDM | CL4DIV: A Contrastive Learning Framework for Search Result Diversification. | Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2023 | AAAI | Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. | Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao |
| 2023 | ACL | Search-Oriented Conversational Query Editing. | Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao |
| 2023 | ACL | 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, Zhao Cao |
| 2023 | CIKM | NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. | Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou |
| 2023 | CIKM | VILE: Block-Aware Visual Enhanced Document Retrieval. | Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen |
| 2023 | ECIR | Topic-Enhanced Personalized Retrieval-Based Chatbot. | Hongjin Qian, Zhicheng Dou |
| 2023 | EMNLP | Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2023 | EMNLP | Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. | Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian |
| 2023 | EMNLP | Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. | Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao |
| 2023 | ICDE | Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. | Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | KDD | 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 |
| 2023 | KDD | PSLOG: Pretraining with Search Logs for Document Ranking. | Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen |
| 2023 | KDD | Improving Search Clarification with Structured Information Extracted from Search Results. | Ziliang Zhao, Zhicheng Dou, Yu Guo, Zhao Cao, Xiaohua Cheng |
| 2023 | WWW | Learning Denoised and Interpretable Session Representation for Conversational Search. | Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao |
| 2023 | WWW | Incorporating Explicit Subtopics in Personalized Search. | Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen |
| 2023 | SIGIR | JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. | Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu |
| 2023 | WSDM | Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. | Qingyu Bing, Qiannan Zhu, Zhicheng Dou |
| 2023 | WSDM | Heterogeneous Graph-based Context-aware Document Ranking. | Shuting Wang, Zhicheng Dou, Yutao Zhu |
| 2022 | CIKM | 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, Zhicheng Dou |
| 2022 | CIKM | Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. | Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen |
| 2022 | COLING | 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, Xipeng Qiu |
| 2022 | EMNLP | MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling. | Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, Zhengyi Ma |
| 2022 | EMNLP | ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. | Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao |
| 2022 | EMNLP | Explicit Query Rewriting for Conversational Dense Retrieval. | Hongjin Qian, Zhicheng Dou |
| 2022 | KDD | Knowledge Enhanced Search Result Diversification. | Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2022 | NAACL | Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. | Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen |
| 2022 | WWW | Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. | Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma |
| 2022 | WWW | A Category-aware Multi-interest Model for Personalized Product Search. | Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen |
| 2022 | WWW | A Gain-Tuning Dynamic Negative Sampler for Recommendation. | Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou |
| 2022 | SIGIR | Webformer: Pre-training with Web Pages for Information Retrieval. | Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, Zhicheng Dou |
| 2022 | SIGIR | Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. | Kelong Mao, Zhicheng Dou, Hongjin Qian |
| 2022 | SIGIR | Generating Clarifying Questions with Web Search Results. | Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen |
| 2022 | WSDM | Improving Personalized Search with Dual-Feedback Network. | Chenlong Deng, Yujia Zhou, Zhicheng Dou |
| 2022 | WSDM | Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. | Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao |
| 2022 | WSDM | Improving Session Search by Modeling Multi-Granularity Historical Query Change. | Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen |
| 2021 | AAAI | Neural Sentence Ordering Based on Constraint Graphs. | Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou |
| 2021 | CIKM | 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, Hao Jiang |
| 2021 | CIKM | Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. | Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen |
| 2021 | CIKM | Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. | Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen |
| 2021 | CIKM | 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 |
| 2021 | CIKM | PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. | Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2021 | ECIR | Content Selection Network for Document-Grounded Retrieval-Based Chatbots. | Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Zhicheng Dou |
| 2021 | EMNLP | Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. | Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk |
| 2021 | WWW | FedPS: A Privacy Protection Enhanced Personalized Search Framework. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2021 | SIGIR | One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. | Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen |
| 2021 | SIGIR | Pchatbot: A Large-Scale Dataset for Personalized Chatbot. | Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen |
| 2021 | SIGIR | Modeling Intent Graph for Search Result Diversification. | Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, Ji-Rong Wen |
| 2021 | SIGIR | Answer Complex Questions: Path Ranker Is All You Need. | Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen |
| 2021 | SIGIR | Group based Personalized Search by Integrating Search Behaviour and Friend Network. | Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen |
| 2021 | SIGIR | Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. | Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou |
| 2020 | AAAI | Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. | Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2020 | ACL | ScriptWriter: Narrative-Guided Script Generation. | Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, Jin Zhou |
| 2020 | CIKM | PSTIE: Time Information Enhanced Personalized Search. | Zhengyi Ma, Zhicheng Dou, Guanyue Bian, Ji-Rong Wen |
| 2020 | CIKM | Diversifying Search Results using Self-Attention Network. | Xubo Qin, Zhicheng Dou, Ji-Rong Wen |
| 2020 | WWW | RLPer: A Reinforcement Learning Model for Personalized Search. | Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen |
| 2020 | SIGIR | DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. | Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen |
| 2020 | SIGIR | Knowledge Enhanced Personalized Search. | Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen |
| 2020 | SIGIR | Employing Personal Word Embeddings for Personalized Search. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2020 | SIGIR | Encoding History with Context-aware Representation Learning for Personalized Search. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2020 | WSDM | Enhancing Re-finding Behavior with External Memories for Personalized Search. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2019 | SIGIR | PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. | Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen |
| 2018 | CIKM | Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. | Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen |
| 2017 | SIGIR | Learning to Diversify Search Results via Subtopic Attention. | Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue |
| 2016 | SIGIR | Evaluating Search Result Diversity using Intent Hierarchies. | Xiaojie Wang, Zhicheng Dou, Tetsuya Sakai, Ji-Rong Wen |
| 2015 | AAAI | Content-Based Collaborative Filtering for News Topic Recommendation. | Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang |
| 2015 | CIKM | Search Result Diversification Based on Hierarchical Intents. | Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, Ji-Rong Wen |
| 2013 | EMNLP | Improving Web Search Ranking by Incorporating Structured Annotation of Queries. | Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen |
| 2013 | SIGIR | Summaries, ranked retrieval and sessions: a unified framework for information access evaluation. | Tetsuya Sakai, Zhicheng Dou |
| 2013 | SIGIR | The impact of intent selection on diversified search evaluation. | Tetsuya Sakai, Zhicheng Dou, Charles L. A. Clarke |
| 2013 | SIGIR | Summary of the NTCIR-10 INTENT-2 task: subtopic mining and search result diversification. | Tetsuya Sakai, Zhicheng Dou, Takehiro Yamamoto, Yiqun Liu, Min Zhang, Makoto P. Kato, Ruihua Song, Mayu Iwata |
| 2011 | CIKM | Finding dimensions for queries. | Zhicheng Dou, Sha Hu, Yulong Luo, Ruihua Song, Ji-Rong Wen |
| 2011 | WSDM | Multi-dimensional search result diversification. | Zhicheng Dou, Sha Hu, Kun Chen, Ruihua Song, Ji-Rong Wen |
| 2009 | SIGIR | Using anchor texts with their hyperlink structure for web search. | Zhicheng Dou, Ruihua Song, Jian-Yun Nie, Ji-Rong Wen |
| 2008 | CIKM | Are click-through data adequate for learning web search rankings? | Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong Wen |
| 2007 | WWW | A large-scale evaluation and analysis of personalized search strategies. | Zhicheng Dou, Ruihua Song, Ji-Rong Wen |