Dou, Zhicheng

Memory in the Age of AI Agents

Hu, Y., Liu, S., Yue, Y., Zhang, G., Liu, B., Zhu, F., Lin, J., Guo, H., Dou, S., Xi, Z., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 389

Large Language Models for Information Retrieval: A Survey

Zhu, Y., Yuan, H., Wang, S., Liu, J., Liu, W., Deng, C., Chen, H., Liu, Z., Dou, Z., & Wen, J.-R. (2026) · ACM Transactions on Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 225

From Matching to Generation: A Survey on Generative Information Retrieval

Li, X., Jin, J., Zhou, Y., Zhang, Y., Zhang, P., Zhu, Y., & Dou, Z. (2025) · ACM Transactions on Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 172

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Qian, H., Liu, Z., Zhang, P., Mao, K., Lian, D., Dou, Z., & Huang, T. (2025) · Proceedings of the ACM on Web Conference 2025

Topic ModelingInformation Retrieval and Search Behavior

Cited by 86

User Behavior Simulation with Large Language Model-based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z.-Y., Tang, J., Zhang, Z., Chen, X., Lin, Y., Sun, H., Song, R., et al. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 59

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder

Lu, S., He, D., Xiong, C., Ke, G., Malik, W., Dou, Z., Bennett, P., Liu, T.-Y., & Overwijk, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 49

Group based Personalized Search by Integrating Search Behaviour and Friend Network

Zhou, Y., Dou, Z., Wei, B., Xie, R., & Wen, J.-R. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 29

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Liu, J., Jin, J., Wang, Z., Cheng, J., Dou, Z., & Wen, J.-R. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 13

WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Li, X., Jin, J., Dong, G., Qian, H., Wu, Y., Wen, J.-R., Zhu, Y., & Dou, Z. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 7

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning

Dong, G., Chen, Y., Li, X., Jin, J., Qian, H., Zhu, Y., Mao, H., Zhou, G., Dou, Z., & Wen, J.-R. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 4

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

Qian, H., Liu, Z., Zhang, P., Mao, K., Zhou, Y., Chen, X., & Dou, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

GISA: A Benchmark for General Information-Seeking Assistant

Zhu, Y., Zhang, X., Zhang, M., Jin, J., Zhang, L., Song, X., Zhao, K., Zeng, W., Tang, R., Li, H., et al. (2026) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 0

Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning

Hu, Y., Liu, J., Tan, J., Zhu, Y., & Dou, Z. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0