Hongjin Qian

According to our database, Hongjin Qian authored at least 42 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning.

Hongjin Qian, Zheng Liu

CoRR, August, 2025

Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search.

Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu, Zhao Yang, Hongjin Qian, Zhicheng Dou

CoRR, July, 2025

VideoDeepResearch: Long Video Understanding With Agentic Tool Using.

Huaying Yuan, Zheng Liu, Junjie Zhou, Hongjin Qian, Ji-Rong Wen, Zhicheng Dou

CoRR, June, 2025

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

CoRR, May, 2025

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

CoRR, May, 2025

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging.

Hongjin Qian, Zheng Liu

CoRR, May, 2025

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

CoRR, April, 2025

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams.

Yongxuan Wu, Runyu Chen, Peiyu Liu, Hongjin Qian

CoRR, April, 2025

Memory-enhanced Retrieval Augmentation for Long Video Understanding.

Huaying Yuan, Zheng Liu, Minhao Qin, Hongjin Qian, Y. Shu, Zhicheng Dou, Ji-Rong Wen

CoRR, March, 2025

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks.

Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou

CoRR, February, 2025

Does RAG Really Perform Bad For Long-Context Processing?

Kun Luo, Zheng Liu, Peitian Zhang, Hongjin Qian, Jun Zhao, Kang Liu

CoRR, February, 2025

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

Proceedings of the ACM on Web Conference 2025, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling.

Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Boosting Long-Context Management via Query-Guided Activation Refilling.

Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian

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

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

CoRR, 2024

Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization.

Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Yong Liu

CoRR, 2024

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

CoRR, 2024

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery.

Hongjin Qian, Peitian Zhang, Zheng Liu, Kelong Mao, Zhicheng Dou

CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?

Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou

CoRR, 2024

Extending Llama-3's Context Ten-Fold Overnight.

Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou

CoRR, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.

Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.

Kelong Mao, Zhicheng Dou, Haonan Chen, Fengran Mo, Hongjin Qian

CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.

Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao

Proceedings of the ACM Web Conference 2023, 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, Hongjin Qian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Topic-Enhanced Personalized Retrieval-Based Chatbot.

Hongjin Qian, Zhicheng Dou

Proceedings of the Advances in Information Retrieval, 2023

Learning on Structured Documents for Conditional Question Answering.

Zihan Wang, Hongjin Qian, Zhicheng Dou

Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Search-Oriented Conversational Query Editing.

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation.

Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Explicit Query Rewriting for Conversational Dense Retrieval.

Hongjin Qian, Zhicheng Dou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot.

Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen

CoRR, 2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Implicit User Profile for Personalized Retrieval-Based Chatbot.

Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Speaker or Listener? The Role of a Dialogue Agent.

Yafei Liu, Hongjin Qian, Hengpeng Xu, Jinmao Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020