Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

With the incredible growth of the scale and complexity of datasets, creating proper
visualizations for users becomes more and more challenging in large datasets. Though …

Translating natural language to visualization (NL2VIS) has shown great promise for visual
data analysis, but it remains a challenging task that requires multiple low-level …

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 …

Recently, large language models (LLMs) have shown great promise in translating natural
language (NL) queries into visualizations, but their" black-box" nature often limits …

Trained on vast corpora, Large Language Models (LLMs) have the potential to encode
visualization design knowledge and best practices. However, if they fail to do so, they might …

This paper explores the current landscape of visualizing large language models (LLMs). The
main objective was threefold. Firstly, we investigate how we can visualize LLM-specific …

Large Language Models (LLMs) have shown impressive capabilities in code generation for
popular programming languages. However, their performance on Low-Resource …

Embedding visual representations within original hierarchical tables can mitigate additional
cognitive load stemming from the division of users' attention. The created hierarchical table …

Visual analytics requires analysts to constantly plan and execute analysis tasks based on
observations and generate visualizations and support analysis for gaining insights from …