Recent studies have indicated that foundation models, such as BERT and GPT, excel at
adapting to various downstream tasks. This adaptability has made them a dominant force in …

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 …

Authoring data-driven articles is a complex process requiring authors to not only analyze
data for insights but also craft a cohesive narrative that effectively communicates the …

Computational notebooks are widely used for data analysis. Their interleaved displays of
code and execution results (eg, visualizations) are welcomed since they enable iterative …

Natural language and visualization are two complementary modalities of human
communication that play a crucial role in conveying information effectively. While …

Extracting data insights and generating visual data stories from tabular data are critical parts
of data analysis. However, most existing studies primarily focus on tabular data stored as flat …

Creating an animated data video with audio narration is a time-consuming and complex task
that requires expertise. It involves designing complex animations, turning written scripts into …

Visual data stories can effectively convey insights from data, yet their creation often
necessitates intricate data exploration, insight discovery, narrative organization, and …

Large Language Models (LLMs) like GPT-4 which support multimodal input (ie, prompts
containing images in addition to text) have immense potential to advance visualization …

Data storytelling plays an important role in data workers' daily jobs since it boosts team
collaboration and public communication. However, to make an appealing data story, data …