Ren, Zhaochun
17 papers on CoChatORCID 0000-0002-9076-6565
Most cited papers
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Neural Rating Regression with Abstractive Tips Generation for Recommendation
Li, P., Wang, Z., Ren, Z., Bing, L., & Lam, W. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 313
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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Sun, W., Yan, L., Ma, X., Wang, S., Ren, P., Chen, Z., Yin, D., & Ren, Z. (2023) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 270
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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Sun, W., Yan, L., Ma, X., Wang, S., Ren, P., Chen, Z., Yin, D., & Ren, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Information Retrieval and Search BehaviorTopic Modeling
Cited by 270
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Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning
Wang, S., Ren, P., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management
Machine Learning in HealthcareComputational Drug Discovery Methods
Cited by 76
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Membership Inference Attacks Against Recommender Systems
Zhang, M., Ren, Z., Wang, Z., Ren, P., Chen, Z., Hu, P., & Zhang, Y. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security
Privacy-Preserving Technologies in DataRecommender Systems and Techniques
Cited by 76
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Contrastive Learning Reduces Hallucination in Conversations
Sun, W., Shi, Z., Gao, S., Ren, P., De Rijke, M., & Ren, Z. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence
Speech and dialogue systemsTopic Modeling
Cited by 69
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Learning to Tokenize for Generative Retrieval
Sun, W., Yan, L., Chen, Z., Wang, S., Zhu, H., Ren, P., Chen, Z., Yin, D., de Rijke, M., & Ren, Z. (2023) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 36
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Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
Shi, Z., Gao, S., Yan, L., Feng, Y., Chen, X., Chen, Z., Yin, D., Verberne, S., & Ren, Z. (2025) · Proceedings of the ACM on Web Conference 2025
Topic ModelingNatural Language Processing Techniques
Cited by 21
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Generative Retrieval as Multi-Vector Dense Retrieval
Wu, S., Wei, W., Zhang, M., Chen, Z., Ma, J., Ren, Z., de Rijke, M., & Ren, P. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Advanced Image and Video Retrieval TechniquesInformation Retrieval and Search Behavior
Cited by 15
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DeepShop: A Benchmark for Deep Research Shopping Agents
Lyu, Y., Zhang, X., Yan, L., de Rijke, M., Ren, Z., & Chen, X. (2025) · arXiv
Consumer Behavior in Brand Consumption and IdentificationDigital Marketing and Social Media
Cited by 9
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Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
Shi, Z., Wang, Y., Yan, L., Ren, P., Wang, S., Yin, D., & Ren, Z. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 7
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A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Fang, J., Peng, Y., Zhang, X., Wang, Y., Yi, X., Zhang, G., Xu, Y., Wu, B., Liu, S., Li, Z., et al. (2025) · arXiv
Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning
Cited by 6
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A Multi-Agent Conversational Recommender System
Fang, J., Gao, S., Ren, P., Chen, X., Verberne, S., & Ren, Z. (2024) · arXiv
Recommender Systems and TechniquesSpeech and dialogue systems
Cited by 5
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Recent Advances in Generative Information Retrieval
Tang, Y., Zhang, R., Ren, Z., Guo, J., & de Rijke, M. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorTopic Modeling
Cited by 4
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EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
Lyu, Y., Zhang, X., Zhao, Y., Papakostas, K., Yi, X., Guo, S., Hu, W., Piotrowski, J., Kaliski, J., Urbani, J., et al. (2026) · arXiv
Artificial Intelligence ApplicationsEvolutionary Algorithms and Applications
Cited by 2
- Verified · note
Recent Advances in Generative Information Retrieval
Tang, Y., Zhang, R., Ren, Z., Guo, J., & de Rijke, M. (2024) · Lecture Notes in Computer Science
Information Retrieval and Search BehaviorTopic Modeling
Cited by 2
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KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
Lyu, Y., Yan, L., Wang, S., Shi, H., Yin, D., Ren, P., Chen, Z., de Rijke, M., & Ren, Z. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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