most citedCollaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs

1 citations · 1 across the 2 of their papers we have counts for

collaborators

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.CV2024

Teach CLIP to Develop a Number Sense for Ordinal Regression

Yao Du, Qiang Zhai, Weihang Dai +1

Ordinal regression is a fundamental problem within the field of computer vision, with customised well-trained models on specific tasks. While pre-trained vision-language models (VL…