arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2510.19600cs.SEcs.AIcs.CL
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人机协作的论文到网页制作

Human-Agent Collaborative Paper-to-Page Crafting

AutoLab, SAI, Shanghai Jiao Tong University(上海交通大学人工智能学院AutoLab实验室);Shanghai AI Laboratory(上海人工智能实验室)

Qianli Ma, Siyu Wang, Yilin Chen, Yinhao Tang, Yixiang Yang, Chang Guo, Bingjie Gao, Zhening Xing, Yanan Sun, Zhipeng Zhang

AI总结:

提出AutoPage多智能体系统,通过粗到细的流水线将论文转化为交互式网页,并引入Checker智能体验证和人工检查点,在15分钟内以低于0.1美元的成本生成高质量网页。

摘要:

在追求科学进步的过程中,传播研究成果与研究本身同样重要。然而,研究人员常常被构建项目网页这一手动、重复的琐事所困扰,以使其密集的论文易于访问。虽然自动化已经解决了静态幻灯片和海报的问题,但网页的动态、交互特性仍然是一个未解决的挑战。为了弥补这一差距,我们重新定义了问题,认为解决方案不在于单一命令,而在于一个协作的、层次化的过程。我们提出了$\textbf{AutoPage}$,一个体现这一理念的新型多智能体系统。AutoPage将论文到网页的创建过程分解为一个从粗到细的流水线,包括叙事规划、多模态内容生成和交互式渲染。为了对抗AI幻觉,专门的“检查者”智能体根据源论文验证每一步,而可选的人工检查点确保最终产品与作者的愿景完美契合,将系统从单纯的工具转变为强大的协作助手。为了严格验证我们的方法,我们还构建了$\textbf{PageBench}$,这是该新任务的第一个基准测试。实验表明,AutoPage不仅生成高质量、视觉吸引人的网页,而且在不到15分钟的时间内以低于0.1美元的成本实现了显著的效率。代码和数据集将在$\href{this https URL}{Webpage}$发布。

英文摘要:

In the quest for scientific progress, communicating research is as vital as the discovery itself. Yet, researchers are often sidetracked by the manual, repetitive chore of building project webpages to make their dense papers accessible. While automation has tackled static slides and posters, the dynamic, interactive nature of webpages has remained an unaddressed challenge. To bridge this gap, we reframe the problem, arguing that the solution lies not in a single command, but in a collaborative, hierarchical process. We introduce $\textbf{AutoPage}$, a novel multi-agent system that embodies this philosophy. AutoPage deconstructs paper-to-page creation into a coarse-to-fine pipeline from narrative planning to multimodal content generation and interactive rendering. To combat AI hallucination, dedicated "Checker" agents verify each step against the source paper, while optional human checkpoints ensure the final product aligns perfectly with the author's vision, transforming the system from a mere tool into a powerful collaborative assistant. To rigorously validate our approach, we also construct $\textbf{PageBench}$, the first benchmark for this new task. Experiments show AutoPage not only generates high-quality, visually appealing pages but does so with remarkable efficiency in under 15 minutes for less than \$0.1. Code and dataset will be released at $\href{https://mqleet.github.io/AutoPage_ProjectPage/}{Webpage}$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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