cs.AI updates on arXiv.org 07月22日 12:34
Manimator: Transforming Research Papers into Visual Explanations
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本文介绍了一个名为Manimator的开源系统,该系统利用大型语言模型将研究论文和自然语言提示转换为解释性动画,以帮助学习者更好地理解复杂科学和数学概念。

arXiv:2507.14306v1 Announce Type: new Abstract: Understanding complex scientific and mathematical concepts, particularly those presented in dense research papers, poses a significant challenge for learners. Dynamic visualizations can greatly enhance comprehension, but creating them manually is time-consuming and requires specialized knowledge and skills. We introduce manimator, an open-source system that leverages Large Language Models to transform research papers and natural language prompts into explanatory animations using the Manim engine. Manimator employs a pipeline where an LLM interprets the input text or research paper PDF to generate a structured scene description outlining key concepts, mathematical formulas, and visual elements and another LLM translates this description into executable Manim Python code. We discuss its potential as an educational tool for rapidly creating engaging visual explanations for complex STEM topics, democratizing the creation of high-quality educational content.

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Manimator 大型语言模型 论文动画 教育工具 STEM教育
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