Dataset-Adaptive Dimensionality Reduction

Dataset-Adaptive Dimensionality Reduction for Reliable and Efficient Visual Analytics

Cluster-Label Matching

Measuring the Validity of Clustering Validation Datasets

S&UI

Leveraging Multimodal LLM for Inspirational User Interface Search

UMATO

Uniform Manifold Approximation with Two-phase Optimization

Unveiling High-dimensional Backstage

A Survey for Reliable Visual Analytics with Dimensionality Reduction

Enhancing Data Literacy On-demand: LLMs as Guides for Novices in Chart Interpretation

Chart reading guidance using LLM through both textual and visual annotations

PhenoFlow

A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets

Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations

What are the specific elements researchers want to see in a citation network?

LitWeaver

Supporting Novice Researchers to Write Literature Review using Language Models

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input

CLAMS

A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works

A qualitative study to understand the use of large-scale text-to-image models for visual artists' creative works