人机协作:低于0.1美元的纸艺创作
Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1
October 22, 2025
作者: Qianli Ma, Siyu Wang, Yilin Chen, Yinhao Tang, Yixiang Yang, Chang Guo, Bingjie Gao, Zhening Xing, Yanan Sun, Zhipeng Zhang
cs.AI
摘要
在追求科学进步的道路上,研究成果的传播与发现本身同等重要。然而,研究人员常常因手动构建项目网页这一重复性工作而分心——这些网页旨在让艰深的论文更易理解。虽然自动化技术已能处理静态幻灯片和海报,但网页的动态交互特性始终是尚未解决的难题。为弥补这一空白,我们重新审视该问题,提出解决方案并非依赖单一指令,而应通过协同分层流程实现。为此,我们引入了体现这一理念的新型多智能体系统AutoPage。该系统将论文到网页的创建过程解构为从叙事规划到多模态内容生成、再到交互式渲染的由粗到精 pipeline。为应对AI幻觉问题,专职的"检查员"智能体会在每个步骤依据原始论文进行验证,同时可选的人工检查点确保最终成果与作者愿景完美契合,使系统从单纯工具升级为强大的协作助手。为严谨验证该方法,我们还构建了该新兴任务的首个基准测试集PageBench。实验表明,AutoPage不仅能生成高质量、视觉吸引力强的网页,更以惊人效率在15分钟内完成制作,成本低于0.1美元。代码与数据集将发布于https://mqleet.github.io/AutoPage_ProjectPage/{网页}$。
English
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
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 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
https://mqleet.github.io/AutoPage_ProjectPage/{Webpage}$.