Tang, Ruiming

How Can Recommender Systems Benefit from Large Language Models: A Survey

Lin, J., Dai, X., Xi, Y., Liu, W., Chen, B., Zhang, H., Liu, Y., Wu, C., Li, X., Zhu, C., et al. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 242

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Liu, B., Zhu, C., Li, G., Zhang, W., Lai, J., Tang, R., He, X., Li, Z., & Yu, Y. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 171

A Survey of Personalization: From RAG to Agent

Li, X., Jia, P., Xu, D., Wen, Y., Zhang, Y., Zhang, W., Wang, W., Wang, Y., Du, Z., Li, X., et al. (2025) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 52

Understanding the planning of LLM agents: A survey

Huang, X., Liu, W., Chen, X., Wang, X., Wang, H., Lian, D., Wang, Y., Tang, R., & Chen, E. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 47

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

Liu, B., Xue, N., Guo, H., Tang, R., Zafeiriou, S., He, X., & Li, Z. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 45

Learning to edit: Aligning llms with knowledge editing

Jiang, Y., Wang, Y., Wu, C., Zhong, W., Zeng, X., Gao, J., Li, L., Jiang, X., Shang, L., Tang, R., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 12

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

Wu, Y., Liang, S., Zhang, C., Wang, Y., Zhang, Y., Guo, H., Tang, R., & Liu, Y. (2025) · arXiv

Topic ModelingMemory Processes and Influences

Cited by 3

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey

Zhu, J., Zhu, M., Rui, R., Shan, R., Zheng, C., Chen, B., Xi, Y., Lin, J., Liu, W., Tang, R., et al. (2025) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 0

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