3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
ProVega: A Grammar to Ease the Prototyping, Creation, and Reproducibility of Progressive Data Analysis and Visualization Solutions
Matteo Filosa, Graziano Blasilli, Emilio Martino +1
Modern data analysis requires speed for massive datasets. Progressive Data Analysis and Visualization (PDAV) emerged as a discipline to address this problem, providing fast respons…
True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Lies
Graziano Blasilli, Marco Angelini
This study investigates the ability of multimodal Large Language Models (LLMs) to identify and interpret misleading visualizations, and recognize these observations along with thei…
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
Luca Podo, Marco Angelini, Paola Velardi
NL2VIS (natural language to visualization) is a promising and recent research area that involves interpreting natural language queries and translating them into visualizations that…
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
Luca Podo, Muhammad Ishmal, Marco Angelini
The automatic generation of visualizations is an old task that, through the years, has shown more and more interest from the research and practitioner communities. Recently, large…