How Good (Or Bad) Are LLMs at Detecting Misleading Visualizations?

IF 4.7 1区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2024-09-12 DOI:10.1109/tvcg.2024.3456333

Leo Yu-Ho Lo, Huamin Qu

引用次数: 0

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LLM 在检测误导性可视化方面有多强（或多弱）？

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Visualization and Computer Graphics 工程技术-计算机：软件工程

CiteScore

10.40

自引率

19.20%

发文量

946

审稿时长

4.5 months

期刊介绍： TVCG is a scholarly, archival journal published monthly. Its Editorial Board strives to publish papers that present important research results and state-of-the-art seminal papers in computer graphics, visualization, and virtual reality. Specific topics include, but are not limited to: rendering technologies; geometric modeling and processing; shape analysis; graphics hardware; animation and simulation; perception, interaction and user interfaces; haptics; computational photography; high-dynamic range imaging and display; user studies and evaluation; biomedical visualization; volume visualization and graphics; visual analytics for machine learning; topology-based visualization; visual programming and software visualization; visualization in data science; virtual reality, augmented reality and mixed reality; advanced display technology, (e.g., 3D, immersive and multi-modal displays); applications of computer graphics and visualization.