arXiv cs.CV
· Papers
Attention-Guided Saliency Maps for Interpreting Visualization Literacy in VLMs
arXiv:2607.16105v1 Announce Type: new Abstract: Understanding how vision-language models (VLMs) interpret data visualizations remains an open problem, and is increasingly important as these models are used for analytical tasks where reliable reasoning is essential. We introduce a lightweight, diagnostic saliency map me