Abstract Information visualizations such as bar charts and line charts are very common for
analyzing data and discovering critical insights. Often people analyze charts to answer …

Large language models (LLMs) have recently soared in popularity due to their ease of
access and the unprecedented ability to synthesize text responses to diverse user …

Captions that describe or explain charts help improve recall and comprehension of the
depicted data and provide a more accessible medium for people with visual disabilities …

Natural language descriptions sometimes accompany visualizations to better communicate
and contextualize their insights, and to improve their accessibility for readers with …

We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and
diverse NL datasets using Vega-Lite specifications as input, thereby streamlining the …

Data visualizations and narratives are often integrated to convey data stories effectively.
Among various data storytelling formats, data videos have been garnering increasing …

When reading a scholarly article, inline citations help researchers contextualize the current
article and discover relevant prior work. However, it can be challenging to prioritize and …

Charts go hand in hand with text to communicate complex data and are widely adopted in
news articles, online blogs, and academic papers. They provide graphical summaries of the …

People often use charts to analyze data, answer questions and explain their answers to
others. In a formative study, we find that such human-generated questions and explanations …

Despite the central importance of research papers to scientific progress, they can be difficult
to read. Comprehension is often stymied when the information needed to understand a …