Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1
Qianli Ma, Siyu Wang, Yilin Chen, Yinhao Tang, Yixiang Yang, Chang Guo, Bingjie Gao, Zhening Xing, Yanan Sun, Zhipeng Zhang

TL;DR
This paper introduces AutoPage, a collaborative multi-agent system that automates the creation of research project webpages from papers, ensuring quality and efficiency with human oversight and verification, all at a low cost.
Contribution
It presents AutoPage, a hierarchical, multi-agent framework for paper-to-page creation, and PageBench, a new benchmark for evaluating such systems.
Findings
AutoPage generates high-quality, visually appealing pages.
The system operates efficiently in under 15 minutes.
Cost of production is less than $0.1 per page.
Abstract
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 , 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…
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Taxonomy
TopicsMultimodal Machine Learning Applications · Interactive and Immersive Displays · Data Visualization and Analytics
