3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.HC2024★ 1 cited
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…
cs.HC2024★ 3 cited
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…