Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

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 …

Visual data stories shown in the form of narrative visualizations such as a poster or a data
video, are frequently used in data-oriented storytelling to facilitate the understanding and …

Supporting the translation from natural language (NL) query to visualization (NL2VIS) can
simplify the creation of data visualizations because if successful, anyone can generate …

Chatbots have garnered interest as conversational interfaces for a variety of tasks. While
general design guidelines exist for chatbot interfaces, little work explores analytical chatbots …

Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …

Natural language (NL) is a promising interaction paradigm for data visualization (VIS).
However, there are not any NL to VIS (NL2VIS) benchmarks available. Our goal is to provide …