A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges

MD Rahman, B Doppalapudi, GJ Quadri… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a comprehensive survey on the use of annotations in information visualizations,
highlighting their crucial role in improving audience understanding and engagement with …

ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset

F Wang, B Wang, X Shu, Z Liu, Z Shao, C Liu… - arXiv preprint arXiv …, 2025 - arxiv.org
Effective chart summary can significantly reduce the time and effort decision makers spend
interpreting charts, enabling precise and efficient communication of data insights. Previous …

Empowering LLMs to Understand and Generate Complex Vector Graphics

X Xing, J Hu, G Liang, J Zhang, D Xu, Q Yu - arXiv preprint arXiv …, 2024 - arxiv.org
The unprecedented advancements in Large Language Models (LLMs) have profoundly
impacted natural language processing but have yet to fully embrace the realm of scalable …

Visualization Literacy of Multimodal Large Language Models: A Comparative Study

Z Li, H Miao, V Pascucci, S Liu - arXiv preprint arXiv:2407.10996, 2024 - arxiv.org
The recent introduction of multimodal large language models (MLLMs) combine the inherent
power of large language models (LLMs) with the renewed capabilities to reason about the …

[PDF][PDF] Leveraging LLMs to Infer Causality from Visualized Data: Alignments and Deviations from Human Judgments

AZ Wang, D Borland, D Gotz - vaclab.unc.edu
Data visualizations are commonly employed to convey relationships between variables from
complex datasets in exploratory data analysis. Recent advancements in Large Language …