Ren, Pengjie

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

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

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

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

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

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

Bayesian Personalized Feature Interaction Selection for Factorization Machines

Chen, Y., Ren, P., Wang, Y., & de Rijke, M. (2019) · Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 26

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

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

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

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

Trustworthy Medical Question Answering: An Evaluation-Centric Survey

Wang, Y., Wang, B., Mercer, R. E., Rudzicz, F., Roy, S. S., Ren, P., Chen, Z., & Wang, X. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 0

Uncovering Overfitting in Large Language Model Editing

Zhang, M., Ye, X., Liu, Q., Ren, P., Wu, S., & Chen, Z. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0