4 papers
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
Lin Wang, Yang Zhang, Jingfan Chen +4
The integration of reinforcement learning (RL) into large language models (LLMs) has opened new opportunities for recommender systems by eliciting reasoning and improving user pref…
Contrastive Learning Augmented Social Recommendations
Lin Wang, Weisong Wang, Xuanji Xiao +1
Recommender systems are essential for modern content platforms, yet traditional behavior-based models often struggle with cold users who have limited interaction data. Engaging the…
Efficient Graph Condensation via Gaussian Process
Lin Wang, Qing Li
Graph condensation reduces the size of large graphs while preserving performance, addressing the scalability challenges of Graph Neural Networks caused by computational inefficienc…
Simplifying Graph Kernels for Efficient
Lin Wang, Shijie Wang, Sirui Huang +1
While kernel methods and Graph Neural Networks offer complementary strengths, integrating the two has posed challenges in efficiency and scalability. The Graph Neural Tangent Kerne…