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 …

Generative text-to-image models have gained great popularity among the public for their
powerful capability to generate high-quality images based on natural language prompts …

Distributed tracing tools have emerged in recent years to enable operators of modern
internet applications to troubleshoot cross-component problems in deployed applications …

Unit visualizations have been widely used in data storytelling within interactive articles and
videos. However, authoring data stories that contain animated unit visualizations is …

Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in
data visualization. However, diagnosing the visualization results without understanding the …

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

Computational notebooks have become increasingly popular for exploratory data analysis
due to their ability to support data exploration and explanation within a single document …

Augmented sports videos, which combine visualizations and video effects to present data in
actual scenes, can communicate insights engagingly and thus have been increasingly …

We introduce Augmented Math, a machine learning-based approach to authoring AR
explorable explanations by augmenting static math textbooks without programming. To …

Documents often have paragraphs packed with numbers that are difficult to extract,
compare, and interpret. To help readers make sense of data in text, we introduce the …