Captioning Visualizations with Large Language Models (CVLLM): A Tutorial

June 27, 2024 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Captioning Visualizations with Large Language Models (CVLLM): A Tutorial"

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Authors Giuseppe Carenini, Jordon Johnson, Ali Salamatian arXiv ID 2406.19512 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.HC Citations 0 Venue arXiv.org Last Checked 4 days ago
Abstract
Automatically captioning visualizations is not new, but recent advances in large language models(LLMs) open exciting new possibilities. In this tutorial, after providing a brief review of Information Visualization (InfoVis) principles and past work in captioning, we introduce neural models and the transformer architecture used in generic LLMs. We then discuss their recent applications in InfoVis, with a focus on captioning. Additionally, we explore promising future directions in this field.
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