2 citations · 2 across the 6 of their papers we have counts for
6 papers
Enhancing Group Recommendation with Memory-Augmented Reasoning in LLM Agent
Qimeng Niu, Bowen Hao, Zixuan Zhang +2
The core challenge in group recommendation lies in modeling the dynamic evolution of user preferences and explain?ing the consensus formation process. Existing Large Language Model…
SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation
Ruiqi Zheng, Jinli Cao, Jiao Yin +1
Cloud-device collaborative recommendation partitions computation across the cloud and user devices: the cloud provides semantic user modeling, while the device leverages recent int…
On-Device Large Language Models for Sequential Recommendation
Xin Xia, Hongzhi Yin, Shane Culpepper
On-device recommendation is critical for a number of real-world applications, especially in scenarios that have agreements on execution latency, user privacy, and robust functional…
ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula
ZiXuan Zhang, Bowen Hao, Yingjie Li +1
Traditional Chinese Medicine (TCM) formulas play a significant role in treating epidemics and complex diseases. Existing models for TCM utilize traditional algorithms or deep learn…
Rethinking Cancer Gene Identification through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li +7
Graph neural networks (GNNs) have shown promise in integrating protein-protein interaction (PPI) networks for identifying cancer genes in recent studies. However, due to the insuff…
A Survey on Sequential Recommendation
Liwei Pan, Weike Pan, Meiyan Wei +2
Different from most conventional recommendation problems, sequential recommendation focuses on learning users' preferences by exploiting the internal order and dependency among the…