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VisEval: A Benchmark for Data Visualization in the Era of Large Language
  Models

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models

1 July 2024
Nan Chen
Yuge Zhang
Jiahang Xu
Kan Ren
Yuqing Yang
ArXivPDFHTML

Papers citing "VisEval: A Benchmark for Data Visualization in the Era of Large Language Models"

10 / 10 papers shown
Title
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data
Omar Mena
Alexandre Kouyoumdjian
Lonni Besancon
Michael Gleicher
I. Viola
Anders Ynnerman
49
0
0
17 Jan 2025
Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision:
  Insights from Group and Individual Assessments
Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
Yoshia Abe
Tatsuya Daikoku
Yasuo Kuniyoshi
EGVM
LM&MA
25
4
0
06 Mar 2024
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting
  Generative AI-based Visualizations
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
L. Podo
M. Ishmal
M. Angelini
47
7
0
03 Feb 2024
Prompt4Vis: Prompting Large Language Models with Example Mining and
  Schema Filtering for Tabular Data Visualization
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
Shuaimin Li
Xuanang Chen
Yuanfeng Song
Yunze Song
C. Zhang
AI4TS
VLM
32
9
0
29 Jan 2024
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural
  Language
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Yuan Tian
Weiwei Cui
Dazhen Deng
Xinjing Yi
Yurun Yang
Haidong Zhang
Yingcai Wu
48
57
0
03 Nov 2023
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Ken Gu
Ruoxi Shang
Tim Althoff
Chenglong Wang
Steven Drucker
AAML
46
25
0
19 Sep 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
369
12,003
0
04 Mar 2022
Collecting and Characterizing Natural Language Utterances for Specifying
  Data Visualizations
Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations
Arjun Srinivasan
Nikhila Nyapathy
Bongshin Lee
Steven Drucker
J. Stasko
64
69
0
01 Oct 2021
Learning to Automate Chart Layout Configurations Using Crowdsourced
  Paired Comparison
Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
Aoyu Wu
Liwenhan Xie
Bongshin Lee
Yun Wang
Weiwei Cui
Huamin Qu
46
33
0
11 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,505
0
23 Jan 2020
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