2 papers
cs.LG2026
LoRA-generating hypernetworks for efficient on-device LLM generative personalization
Sean Augenstein, Li Ding, Jihwan Lee +2
On-device large language models (`LLMs'), e.g. running on mobile phones, are ripe for improvement via personalization. The limited compute resources of mobile devices impose limits…
cs.IR2021
Dual-embedding based Neural Collaborative Filtering for Recommender Systems
Gongshan He, Dongxing Zhao, Lixin Ding
Among various recommender techniques, collaborative filtering (CF) is the most successful one. And a key problem in CF is how to represent users and items. Previous works usually r…