From the 1 of 12 linked papers with an AI index.
12 papers
TailVis: Expressive Chart Refinement Preserving Data-Binding Integrity
Yumin Song, Seokhyeon Park, Soohyun Lee +4
TailVis is a visualization authoring tool that lets users make fine-grained, expressive edits to static charts while keeping the link between data and visual elements intact, using…
InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation
Junhyeong Hwangbo, Soohyun Lee, Hyeon Jeon +4
Even LLMs that appear safe during evaluation can still produce harmful responses in deployment. Because stochastic sampling yields different responses to the same prompt, low-proba…
Physical Containers as Framing Conditions for Visualization in Augmented Reality
Jiyeon Bae, Mingyu An, Jeongin Park +3
Exploratory data analysis (EDA) is often hindered by cold-start friction; when users lack specific analytic goals, they struggle to configure complex visualization parameters. Whil…
A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music
Jiyeon Bae, Jinwook Seo
Existing computational studies of popular music primarily model aggregate trends or predict chart performance, offering limited support for interpreting artist-level alignment agai…
Seeing Graphs Like Humans: Benchmarking Computational Measures and MLLMs for Similarity Assessment
Seokweon Jung, Jeongmin Rhee, Seoyoung Doh +3
Comparing graphs to identify similarities is a fundamental task in visual analytics of graph data. To support this, visual analytics systems frequently employ quantitative computat…
Stop Misusing t-SNE and UMAP for Visual Analytics
Hyeon Jeon, Jeongin Park, Sungbok Shin +1
Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect the original distanc…