no code implementations • 30 Mar 2024 • Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Donghee Choi, Jaewoo Kang
While recent advancements in commercial large language models (LM) have shown promising results in medical tasks, their closed-source nature poses significant privacy and security concerns, hindering their widespread use in the medical field.
Ranked #6 on Zero-Shot Learning on MedConceptsQA
1 code implementation • 22 Aug 2023 • Dain Kim, Jinhyeok Park, Dongwoo Kim
Popularity bias is a widespread problem in the field of recommender systems, where popular items tend to dominate recommendation results.
no code implementations • 27 Jul 2023 • Jihyeon Lee, Dain Kim, Doohae Jung, Boseop Kim, Kyoung-Woon On
In-context learning, which offers substantial advantages over fine-tuning, is predominantly observed in decoder-only models, while encoder-decoder (i. e., seq2seq) models excel in methods that rely on weight updates.
2 code implementations • 24 Oct 2022 • Jinhyeok Park, Dain Kim, Dongwoo Kim
Our proposed system is based on an ensemble between an item-based variational auto-encoder (VAE) and a Bayesian personalized ranking matrix factorization (BPRMF).