VizGenie:朝着自我完善的方向,为下一代科学可视化提供域内工作流程.
IEEE transactions on visualization and computer graphics
|December 5, 2025
概括
VizGenie是一个新的框架,使用大型语言模型 (LLM) 来自动生成科学可视化脚本. 这种自我改进的系统通过动态地适应用户需求来增强数据探索和可重复性.
科学领域:
- 科学可视化科学可视化
- 计算科学 计算科学
- 数据分析 数据分析
背景情况:
- 传统的科学可视化工具在处理复杂,高维数据方面存在局限性.
- 用于高级可视化的手动脚本生成是耗时的,需要专门的专业知识.
研究的目的:
- 介绍VizGenie,这是一个利用大型语言模型 (LLM) 来自动化和增强科学可视化的代理框架.
- 为了实现可视化脚本的按需生成,并促进直观的,基于自然语言的数据探索.
主要方法:
- VizGenie编排特定领域的模块,并使用LLMs动态生成新的可视化脚本.
- 它使用自然语言处理和视觉问题答案 (VQA) 进行高级查询解释.
- 检索增强生成 (RAG) 确保可靠性和来源跟踪.
主要成果:
- 自动生成和验证可视化脚本,扩展系统功能.
- 对复杂数据集的代可视化任务的认知开销显著减少.
- 通过VQA.成功解释基于特征的查询和交互式探索.
结论:
- VizGenie提供了一个可持续的,不断发展的科学可视化平台.
- 它通过将LLM灵活性与精心策划的工具相结合,加速洞察力生成,并支持可重复的研究.
- 该框架增强了以功能为中心的探索,并适应了用户交互.
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