Li, Yongqi

Data-efficient Fine-tuning for LLM-based Recommendation

Lin, X., Wang, W., Li, Y., Yang, S., Feng, F., Wei, Y., & Chua, T.-S. (2024) · arXiv

Recommender Systems and TechniquesTopic Modeling

Cited by 165

Multiview Identifiers Enhanced Generative Retrieval

Li, Y., Yang, N., Wang, L., Wei, F., & Li, W. (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 37

Learning to Rank in Generative Retrieval

Li, Y., Yang, N., Wang, L., Wei, F., & Li, W. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 27

Learning to Rank in Generative Retrieval

Li, Y., Yang, N., Wang, L., Wei, F., & Li, W. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Information Retrieval and Search BehaviorTopic Modeling

Cited by 27

Large Language Models Empowered Personalized Web Agents

Cai, H., Li, Y., Wang, W., Zhu, F., Shen, X., Li, W., & Chua, T.-S. (2025) · Proceedings of the ACM on Web Conference 2025

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 15

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

Xia, H., Leong, C. T., Wang, W., Li, Y., & Li, W. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12