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Search Agent
2025-Present
Agentic search is a retrieval approach where an AI agent actively plans, decomposes, and executes multi-step information-seeking actions to answer complex user questions.
Publications
- arXiv Model-Document Protocol for AI Search. Hongjin Qian, Zheng Liu.
- arXiv InfoFlow: Reinforcing Search Agent Via Reward Density Optimization. Kun Luo*, Hongjin Qian*, Zheng Liu, Ziyi Xia, Shitao Xiao, Siqi Bao, Jun Zhao, Kang Liu.
- arXiv FinSight: Towards Real-World Financial Deep Research. Jiajie Jin, Yuyao Zhang, Yimeng Xu, Hongjin Qian, Yutao Zhu, Zhicheng Dou.
- arXiv Open Data Synthesis For Deep Research. Ziyi Xia*, Kun Luo*, Hongjin Qian*, Zheng Liu.
- arXiv MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning. Hongjin Qian, Zheng Liu.
- arXiv Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search. Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu, Yang Zhao, Hongjin Qian, Zhicheng Dou.
- arXiv VideoDeepResearch: Long Video Understanding With Agentic Tool Using. Huaying Yuan, Zheng Liu, Junjie Zhou, Hongjin Qian, Ji-Rong Wen, Zhicheng Dou.
- arXiv Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen.
- Neurips 25 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging. Hongjin Qian, Zheng Liu. CCF-A Splotlight
- Neurips 25 WebThinker: Empowering Large Reasoning Models with Deep Research Capability. Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yutao Zhu, Yongkang Wu, Ji-Rong Wen, Zhicheng Dou. CCF-A
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Retrieval-Augmentation Generation
2022-Present
Retrieval-Augmented Generation (RAG) is a method that first retrieves relevant information from an external knowledge source and then combines it with the model’s input to generate more accurate and informative responses.
Publications
- AAAI 26 Does RAG Really Perform Bad For Long-Context Processing? Kun Luo, Zheng Liu, Shitao Xiao, Jiabei Chen, Hongjin Qian, Peitian Zhang, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu. CCF-A
- Neurips 25 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks. Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou. CCF-A Splotlight
- EMNLP 25 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. CCF-B
- arXiv Memory-enhanced Retrieval Augmentation for Long Video Understanding. Huaying Yuan, Zheng Liu, Minghao Qin, Hongjin Qian, Yan Shu, Zhicheng Dou, Ji-Rong Wen, Nicu Sebe.
- ACL 25 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian. CCF-A
- theWebConf 25 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. CCF-A
- KDD 25 Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. Hongjin Qian, Zheng Liu, Peitian Zahng, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou. CCF-A
- arXiv Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu.
- EMNLP 24 Findings 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.
- ACL 24 Grounding Language Model with Chunking-Free In-Context Retrieval. Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou. CCF-A
- arXiv Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen.
- arXiv Webbrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. Hongjin Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen.
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Conversational Search
2021-Present
Conversational search is an interactive search paradigm where users and systems engage in a dialogue, allowing queries, clarifications, and refinements across multiple turns to iteratively reach more accurate and context-aware results.
Publications
- CIKM 25 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. CCF-B
- TOIS 25 A Survey of Conversational Search. Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie. CCF-A
- NAACL 24 Findings 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.
- ACL 23 Findings Search-oriented Conversational Query Editing. Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao.
- EMNLP 23 Findings 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.
- theWebConf 23 Learning Denoised and Interpretable Session Representation for Conversational Search. Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao. CCF-A Splotlight
- EMNLP 22 Explicit Query Rewriting for Conversational Dense Retrieval. Hongjin Qian, Zhicheng Dou. CCF-B
- EMNLP 22 ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao. CCF-B
- SIGIR 22 Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. Kelong Mao, Zhicheng Dou, Hongjin Qian. CCF-A
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Dialogue System, QA System, Ranking, Retrieval, Theory, etc.
Publications
- IJCAI 25 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu. CCF-A
- arXiv Extending Llama-3’s Context Ten-Fold Overnight. Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou.
- CCL 23 Learning on Structured Documents for Conditional Question Answering. Zihan Wang, Hongjin Qian, Zhicheng Dou.
- ECIR 23 Topic-Enhanced Personalized Retrieval-Based Chatbot. Hongjin Qian, Zhicheng Dou.
- NAACL 22 Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen. CCF-B
- SIGIR 22 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. CCF-A
- CIKM 21 Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen. CCF-B
- SIGIR 21 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. CCF-A
- EMNLP 20 Findings Speaker or Listener? The Role of a Dialog Agent. Yafei Liu*, Hongjin Qian*, Hengpeng Xu, Jinmao Wei.
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