3 papers
cs.IR2026
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
Lingyu Mu, Hao Deng, Haibo Xing +7
Recent progress in large language model (LLM) based generative recommendation (GR) shows that leveraging LLM world knowledge can substantially improve performance. However, existin…
cs.IR2025
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
Lingyu Mu, Hao Deng, Haibo Xing +7
The integration of large language models (LLMs) into recommendation systems has revealed promising potential through their capacity to extract world knowledge for enhanced reasonin…
cs.LG2025
Pareto Optimal Algorithmic Recourse in Multi-cost Function
Wen-Ling Chen, Hong-Chang Huang, Kai-Hung Lin +2
In decision-making systems, algorithmic recourse aims to identify minimal-cost actions to alter an individual features, thereby obtaining a desired outcome. This empowers individua…