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

3 February 2024

Papers citing "Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations"

9 / 9 papers shown

Title
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations James Ford Xingmeng Zhao Dan Schumacher Anthony Rios 36 1 0 27 Sep 2024
VisEval: A Benchmark for Data Visualization in the Era of Large Language Models Nan Chen Yuge Zhang Jiahang Xu Kan Ren Yuqing Yang 37 9 0 01 Jul 2024
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions L. Podo M. Angelini Paola Velardi 50 1 0 21 Jun 2024
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
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 229 574 0 03 May 2023
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries Yiru Chen Ryan Li Austin Mac Tianbao Xie Tao Yu Eugene Wu 38 12 0 19 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 395 8,559 0 28 Jan 2022
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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018