Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports· Wyvern: 生成有根据的多模态报告的代理框架
In the current artificial intelligence-driven innovation era, the pace of knowledge growth is accelerating, and is hard to keep up with. While generative models are increasingly used to synthesize content, they often lack in information grounding. To address these peculiarities of our time, we propose Wyvern, a multi-agent framework for the automated generation of grounded, multimodal technical reports. Wyvern allows for the generation of multimodal outputs, integrating images, tables, and text with supporting references in a unified report. Additionally, a particular focus is placed on the grounding of the content, with the implementation of a claims auto-revision stage. We conduct a human evaluation study to assess the quality of our proposed framework. The results show that the figures'
Wyvern:多代理框架自动生成有根据的多模态技术报告
- 核心方法
- 多代理框架整合图像、表格和文本生成多模态报告,并实现自动校正以确保内容依据
- 适合谁读
- 研究者、工程师
- 要解决的问题
- 当前生成模型合成的内容缺乏信息依据,难以应对快速知识增长的需求
- 关键实验
- 进行了人类评估研究,结果显示报告质量有所提升
- 主要贡献
- 提出Wyvern框架,生成有根据的多模态技术报告,提高内容的准确性和可靠性
- 意义与局限
- 意义在于提升生成报告的准确性和可靠性,但可能面临计算资源和数据质量的挑战