4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2026
N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models
Donghoon Han, Minseop Jung, Dong Woo Kwak +2
Conditional memory expands language-model capacity through selective lookup, but the full embedding table must remain available for every possible input. We introduce Conditional P…
cs.CV2024
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
Minseop Jung, Minseong Kim, Jibum Kim
The success of Transformer-based models has encouraged many researchers to learn CAD models using sequence-based approaches. However, learning CAD models is still a challenge, beca…
cs.LG2023★ 4 cited
A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Minseop Jung, Jaeseung Lee, Jibum Kim
Several studies have attempted to solve traveling salesman problems (TSPs) using various deep learning techniques. Among them, Transformer-based models show state-of-the-art perfor…