3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.IR2024
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
Yaoyiran Li, Xiang Zhai, Moustafa Alzantot +4
Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences.…
cs.CL2019★ 3 cited
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos
Learning general representations of text is a fundamental problem for many natural language understanding (NLU) tasks. Previously, researchers have proposed to use language model p…