5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.IR2023
NFTs to MARS: Multi-Attention Recommender System for NFTs
Seonmi Kim, Youngbin Lee, Yejin Kim +2
Recommender systems have become essential tools for enhancing user experiences across various domains. While extensive research has been conducted on recommender systems for movies…
cs.CL2023★ 2 cited
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Tianhao Li, Sandesh Shetty, Advaith Kamath +4
Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their a…
cs.CL2022★ 5 cited
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Dongsuk Oh, Yejin Kim, Hodong Lee +2
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence represen…