A framework with Generalized Animation Descriptor, cloud data access, tailored rendering, and LLM scripting enables 3D animations of petascale datasets on commodity workstations in minutes to hours.
Visualization literacy of multimodal large language models: a comparative study
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces CVLAT and VFRI to disentangle visual vs factual correctness in 15 LVLMs, classifies models by reliance sign, compares to human baseline, and tests prompt interventions.
MLLMs given the same instructions as human participants achieve expert-level performance on perceiving stress in network visualizations and rely on similar visual proxies.
citing papers explorer
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Disentangling Visual and Factual Correctness in LVLMs' Visualization Literacy
Introduces CVLAT and VFRI to disentangle visual vs factual correctness in 15 LVLMs, classifies models by reliance sign, compares to human baseline, and tests prompt interventions.
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Exploring MLLMs Perception of Network Visualization Principles
MLLMs given the same instructions as human participants achieve expert-level performance on perceiving stress in network visualizations and rely on similar visual proxies.