Hou, Yupeng

A Survey of Large Language Models

Zhao, W. X., Zhou, K., Li, J., Tang, T., Dong, Z., Hou, Y., Zhang, B., Min, Y., Zhang, J., Liu, P., et al. (2026) · Frontiers of Computer Science

Topic ModelingNatural Language Processing Techniques

Cited by 2,093

A Survey of Large Language Models

Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,090

Large Language Models are Zero-Shot Rankers for Recommender Systems

Hou, Y., Zhang, J., Lin, Z., Lu, H., Xie, R., McAuley, J., & Zhao, W. X. (2024) · Lecture Notes in Computer Science

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 327

Towards Universal Sequence Representation Learning for Recommender Systems

Hou, Y., Mu, S., Zhao, W. X., Li, Y., Ding, B., & Wen, J.-R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 313

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Hou, Y., He, Z., McAuley, J., & Zhao, W. X. (2023) · Proceedings of the ACM Web Conference 2023

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 172

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Zhang, J., Xie, R., Hou, Y., Zhao, W. X., Lin, L., & Wen, J.-R. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 146

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Zheng, B., Hou, Y., Lu, H., Chen, Y., Zhao, W. X., Chen, M., & Wen, J.-R. (2024) · 2024 IEEE 40th International Conference on Data Engineering (ICDE)

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 143

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems

Zhang, J., Hou, Y., Xie, R., Sun, W., McAuley, J., Zhao, W. X., Lin, L., & Wen, J.-R. (2024) · Proceedings of the ACM Web Conference 2024

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 94

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Hou, Y., Li, J., Fu, X., He, Z., Yan, A., Chen, X., & McAuley, J. (2024) · arXiv

Topic ModelingRecommender Systems and Techniques

Cited by 59

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Hou, Y., Li, J., Fu, X., He, Z., Yan, A., Chen, X., & McAuley, J. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingRecommender Systems and Techniques

Cited by 59

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models

Chen, Z., Jiang, Z., Yang, F., He, Z., Hou, Y., Cho, E., McAuley, J., Galstyan, A., Hu, X., & Yang, J. (2023) · Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Recommender Systems and TechniquesTopic Modeling

Cited by 5