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 …

Generative text‐to‐image models (as exemplified by DALL‐E, MidJourney, and Stable
Diffusion) have recently made enormous technological leaps, demonstrating impressive …

The use of natural language interfaces (NLIs) to create charts is becoming increasingly
popular due to the intuitiveness of natural language interactions. One key challenge in this …

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

Pictorial visualization seamlessly integrates data and semantic context into visual
representation, conveying complex information in an engaging and informative manner …

Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

Data charts are prevalent across various fields due to their efficacy in conveying complex
data relationships. However, static charts may sometimes struggle to engage readers 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 …

In geo-related fields such as urban informatics, atmospheric science, and geography, large-
scale spatial time (ST) series (ie, geo-referred time series) are collected for monitoring and …

Experts in racket sports like tennis and badminton use tactical analysis to gain insight into
competitors' playing styles. Many data-driven methods apply pattern mining to racket sports …