4 papers
Exploring MLLMs Perception of Network Visualization Principles
Jacob Miller, Markus Wallinger, Ludwig Felder +5
In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Spec…
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly
Kiran Smelser, Jacob Miller, Stephen Kobourov
Stress is among the most commonly employed quality metrics and optimization criteria for dimension reduction projections of high dimensional data. Complex, high dimensional data is…
Visualization Biases MLLM's Decision Making in Network Data Tasks
Timo Brand, Henry Förster, Stephen G. Kobourov +1
We evaluate how visualizations can influence the judgment of MLLMs about the presence or absence of bridges in a network. We show that the inclusion of visualization improves confi…
Drawing Trees and Cacti with Integer Edge Lengths on a Polynomial-Size Grid
Henry Förster, Stephen Kobourov, Jacob Miller +1
A strengthened version of Harborth's well-known conjecture -- known as Kleber's conjecture -- states that every planar graph admits a planar straight-line drawing where every edge…