This study presents a systematic literature search and narrative meta-review of the current
state of research on conversational agents (CAs), including embodied CAs, chatbots, and …

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 …

Narrative visualization effectively transforms data into engaging stories, making complex
information accessible to a broad audience. Large models, essential for narrative …

Generative Large Language Models (LLMs) show potential in data analysis, yet their full
capabilities remain uncharted. Our work explores the capabilities of LLMs for creating and …

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 …

With the growing complexity and volume of data, visualizations have become more intricate,
often requiring advanced techniques to convey insights. These complex charts are prevalent …

AI has significantly altered the way humans interact with technology. It is important to
observe the impact of Natural Language Interfaces (NLIs) on user experiences in Human …

We propose a novel framework that leverages Visual Question Answering (VQA) models to
automate the evaluation of LLM-generated data visualizations. Traditional evaluation …

The goal of the data visualization field has always been to enable the production of
visualizations directly from natural language text. This paper introduces Visistant, an …

Data visualization has entered the mainstream, and numerous visualization recommender
systems have been proposed to assist visualization novices, as well as busy professionals …