Core Insights - The article discusses the introduction of AutoPage, a multi-agent collaborative framework that automates the transformation of academic papers into high-quality, interactive project webpages, addressing the inefficiencies faced by researchers in showcasing their work [1][14]. Group 1: AutoPage Overview - AutoPage can generate a structured, visually rich, and interactive research homepage from a PDF in under 15 minutes, with a cost of less than $0.1 [2][16]. - The framework consists of multiple intelligent agents that collaborate in a three-step process: narrative planning, multimodal content generation, and interactive page rendering [6][9]. Group 2: Methodology - The "planner" agent analyzes the PDF to create a narrative blueprint, ensuring logical clarity and structural integrity [7]. - The "content generator" agent produces concise text and selects appropriate visuals, while the "checker" agent verifies the accuracy of the content against the original paper [8]. - The "renderer" agent generates the webpage content and style files based on user preferences, allowing for natural language adjustments [9][10]. Group 3: Performance and Quality - AutoPage has been evaluated against over 1500 academic homepages, demonstrating superior performance in content fidelity, visual appeal, and layout compared to models like GPT-4o-mini and Gemini-2.5-Flash [13][16]. - Users have rated AutoPage highly for its coherent content and visually appealing design, indicating a preference for its output over traditional methods [16]. Group 4: Accessibility and Open Source - All code for AutoPage is open-source, allowing users to upload their papers directly and choose from various model APIs, with recommendations for optimal performance [14][16].