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"

6 / 6 papers shown

Title
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language Yuan Tian Weiwei Cui Dazhen Deng Xinjing Yi Yurun Yang Haidong Zhang Yingcai Wu 38 24 0 03 Nov 2023
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 206 559 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 28 13 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 315 8,261 0 28 Jan 2022
Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations Arjun Srinivasan Nikhila Nyapathy Bongshin Lee Steven Drucker J. Stasko 44 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 294 6,927 0 20 Apr 2018