181 citations · 255 across the 6 of their papers we have counts for
6 papers
ChatGPT in Data Visualization Education: A Student Perspective
Nam Wook Kim, Hyung-Kwon Ko, Grace Myers +1
Unlike traditional educational chatbots that rely on pre-programmed responses, large-language model-driven chatbots, such as ChatGPT, demonstrate remarkable versatility to serve as…
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
Hyung-Kwon Ko, Hyeon Jeon, Gwanmo Park +4
We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input, thereby streamlining the develo…
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Hyeon Jeon, Aeri Cho, Jinhwa Jang +5
Dimensionality reduction (DR) techniques inherently distort the original structure of input high-dimensional data, producing imperfect low-dimensional embeddings. Diverse distortio…
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works
Hyung-Kwon Ko, Gwanmo Park, Hyeon Jeon +3
Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E), self-supervised deep learning models trained on a huge dataset, have demonstrated the capacity for generating hi…
Uniform Manifold Approximation with Two-phase Optimization
Hyeon Jeon, Hyung-Kwon Ko, Soohyun Lee +2
We introduce Uniform Manifold Approximation with Two-phase Optimization (UMATO), a dimensionality reduction (DR) technique that improves UMAP to capture the global structure of hig…
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
Hyeon Jeon, Hyung-Kwon Ko, Jaemin Jo +2
We propose Steadiness and Cohesiveness, two novel metrics to measure the inter-cluster reliability of multidimensional projection (MDP), specifically how well the inter-cluster str…