Zhao, Wayne Xin

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

A survey on large language model based autonomous agents

Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al. (2024) · Frontiers of Computer Science

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1,941

A Survey on Large Language Model based Autonomous Agents

Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1,925

Comparing Twitter and Traditional Media Using Topic Models

Zhao, W. X., Jiang, J., Weng, J., He, J., Lim, E.-P., Yan, H., & Li, X. (2011) · Lecture Notes in Computer Science

Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining

Cited by 1,214

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

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

Dense Text Retrieval Based on Pretrained Language Models: A Survey

Zhao, W. X., Liu, J., Ren, R., & Wen, J.-R. (2024) · ACM Transactions on Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 211

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

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

Wang, X., Zhou, K., Wen, J.-R., & Zhao, W. X. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 164

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

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph

Jiang, J., Zhou, K., Zhao, W. X., & Wen, J.-R. (2022) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 105

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

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data

Zhang, H., Tian, C., Li, Y., Su, L., Yang, N., Zhao, W. X., & Gao, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 55

Don't Make Your LLM an Evaluation Benchmark Cheater

Zhou, K., Zhu, Y., Chen, Z., Chen, W., Zhao, W. X., Chen, X., Lin, Y., Wen, J.-R., & Han, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 25

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Ren, R., Wang, Y., Qu, Y., Zhao, W. X., Liu, J., Tian, H., Wu, H., Wen, J.-R., & Wang, H. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 21

Pretrained Language Models for Text Generation: A Survey

Li, J., Tang, T., Zhao, W. X., & Wen, J.-R. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

TOME: A Two-stage Approach for Model-based Retrieval

Ren, R., Zhao, W. X., Liu, J., Wu, H., Wen, J.-R., & Wang, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 14

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Li, J., Chen, J., Ren, R., Cheng, X., Zhao, W. X., Nie, J.-Y., & Wen, J.-R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

User Behavior Simulation with Large Language Model based Agents

Wang, L., Zhang, J., Yang, H., Chen, Z., Tang, J., Zhang, Z., Chen, X., Lin, Y., Song, R., Zhao, W. X., et al. (2023) · arXiv

Recommender Systems and TechniquesMulti-Agent Systems and Negotiation

Cited by 6

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

Tang, T., Lu, H., Jiang, Y. E., Huang, H., Zhang, D., Zhao, W. X., Kocmi, T., & Wei, F. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Min, Y., Chen, Z., Jiang, J., Chen, J., Deng, J., Hu, Y., Tang, Y., Wang, J., Cheng, X., Song, H., et al. (2024) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2