1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2024★ 1 cited
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
Chuang Zhao, Xing Su, Ming He +3
Owing to the impressive general intelligence of large language models (LLMs), there has been a growing trend to integrate them into recommender systems to gain a more profound insi…
cs.HC2023★ 1 cited
Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models
Jiayi Fu, Haoying Han, Xing Su +1
Pre-trained large language models (PLMs) have the potential to support urban science research through content creation, information extraction, assisted programming, text classific…