Speaker or Listener? The Role of a Dialogue Agent. - Yafei Liu; Hongjin Qian; Hengpeng Xu; Jinmao Wei 001 (EMNLP (Findings), 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)

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

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

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)

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)

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)

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

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

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

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)

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)

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)

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

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)

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)

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)

Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. - Xinhao Yao; Hongjin Qian; Xiaolin Hu; Gengze Xu; Yong Liu (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)

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

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

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)

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)

Does RAG Really Perform Bad For Long-Context Processing? - Kun Luo; Zheng Liu 011; Peitian Zhang; Hongjin Qian; Jun Zhao 001; Kang Liu 001 (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)

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams. - Yongxuan Wu; Runyu Chen; Peiyu Liu; Hongjin Qian (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)

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging. - Hongjin Qian; Zheng Liu (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)

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)

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)

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning. - Hongjin Qian; Zheng Liu (CoRR, 2025)