Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms-猫眼课题宝

DOI：

10.48550/arxiv.2303.08819

发表时间：

2023-03

期刊：

ArXiv

影响因子：

通讯作者：

中科院分区：

其他

文献类型：

作者：

Sara Di Bartolomeo;Giorgio Severi;V. Schetinger;Cody Dunne

大型语言模型（LLM）最近席卷了世界。他们可以生成连贯的文本，进行有意义的对话，并学习概念和基本指令集-例如算法的步骤。在这种情况下，我们有兴趣通过在ChatGPT上进行实验来探索LLM在图形绘制算法中的应用。这些算法用于提高图形可视化的可读性。LLM的概率性质对正确实现算法提出了挑战，但我们相信LLM从大量数据中学习并应用复杂操作的能力可能会导致有趣的图形绘制结果。例如，我们可以让编码背景有限的用户使用简单的自然语言来创建有效的图形可视化。自然语言规范将使数据可视化对于更广泛的用户来说更容易访问和用户友好。探索LLM的绘图能力还可以帮助我们更好地理解如何为LLM制定复杂的算法;这是一种可以转移到计算机科学其他领域的知识。总的来说，我们的目标是阐明使用LLM进行图形绘制的令人兴奋的可能性，同时对它们所带来的挑战和机遇进行平衡的评估。本文的免费副本以及复制我们的结果所需的所有补充材料可在https://osf.io/n5rxd/?上获得View_only=f09cbc2621f44074810b7d843f1e12f9

Large language models (LLMs) have recently taken the world by storm. They can generate coherent text, hold meaningful conversations, and be taught concepts and basic sets of instructions - such as the steps of an algorithm. In this context, we are interested in exploring the application of LLMs to graph drawing algorithms by performing experiments on ChatGPT. These algorithms are used to improve the readability of graph visualizations. The probabilistic nature of LLMs presents challenges to implementing algorithms correctly, but we believe that LLMs' ability to learn from vast amounts of data and apply complex operations may lead to interesting graph drawing results. For example, we could enable users with limited coding backgrounds to use simple natural language to create effective graph visualizations. Natural language specification would make data visualization more accessible and user-friendly for a wider range of users. Exploring LLMs' capabilities for graph drawing can also help us better understand how to formulate complex algorithms for LLMs; a type of knowledge that could transfer to other areas of computer science. Overall, our goal is to shed light on the exciting possibilities of using LLMs for graph drawing while providing a balanced assessment of the challenges and opportunities they present. A free copy of this paper with all supplemental materials required to reproduce our results is available on https://osf.io/n5rxd/?view_only=f09cbc2621f44074810b7d843f1e12f9

Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms

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