Data visualization in the form of charts plays a pivotal role in data analysis, offering critical
insights and aiding in informed decision-making. Automatic chart understanding has …

Chart parsing poses a significant challenge due to the diversity of styles, values, texts, and
so forth. Even advanced large vision-language models (LVLMs) with billions of parameters …

Tables and figures are usually used to present information in a structured and visual way in
scientific documents. Understanding the tables and figures in scientific documents is …

Chart summarization is a crucial task for blind and visually impaired individuals as it is their
primary means of accessing and interpreting graphical data. Crafting high-quality …

In a world driven by data visualization, ensuring the inclusive accessibility of charts for Blind
and Visually Impaired (BVI) individuals remains a significant challenge. Charts are usually …

Despite the recent surge of research efforts to make data visualizations accessible to people
who are blind or have low vision (BLV), how to support BLV people's data analysis remains …

Flowcharts are graphical tools for representing complex concepts in concise visual
representations. This paper introduces the FlowLearn dataset, a resource tailored to …

In recent years, interest in vision-language tasks has grown, especially those involving chart
interactions. These tasks are inherently multimodal, requiring models to process chart …

In order to make full use of the decision support knowledge contained in the structured chart
data that matches the needs of the enterprise, we propose a deep learning approach for …

Data visualization is a computer technique that transforms information into visual
representations, with broad applications in areas such as data analysis, education …