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researcher

L. Podo

2 papers hereh-index 689 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.HC2

identity via Semantic Scholar / OpenAlex

most citedVi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

3 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing cs.HCShow all

2 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.