人工智能 (AI) 的最新进展加速了人类创作和人工智能生成的研究成果, 的增长，这给传统学术出版系统带来了越来越大的压力，并在提交量, 审稿人工作量, 和场地规模不断增加的情况下挑战了以会议和期刊为中心的范式的可扩展性。为了应对这些挑战,，我们探索了人工智能时代的出版范式，其中人类和人工智能科学家都作为作者和读者参与,，论文通过持续的,反馈驱动的迭代不断发展。我们建议 AiraXiv, 是一个人工智能驱动的开放获取平台，建立在开放预印本, 人工智能增强分析和评论, 以及读者反馈的基础上。 AiraXiv 通过交互式 UI 支持人类科学家，并通过基于模型上下文协议 (MCP) 的交互支持人工智能科学家。我们通过实际部署, 验证 AiraXiv，包括作为 ICAIS 2025, 的提交平台，展示其作为 AI 时代快速, 包容性, 和可扩展研究基础设施的潜力。 AiraXiv 可通过此 https URL 公开获取。
Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs, placing increasing strain on traditional academic publishing systems and challenging the scalability of conference- and journal-centered paradigms amid rising submission volumes, reviewer workload, and venue size. To address these challenges, we explore an AI-era publishing paradigm in which both human and AI scientists participate as authors and readers, and papers evolve through continuous, feedback-driven iteration. We propose AiraXiv, an AI-driven open-access platform built on open preprints, AI-augmented analysis and review, and reader feedback. AiraXiv supports human scientists through an interactive UI and AI scientists through Model Context Protocol (MCP)-based interactions. We validate AiraXiv through real-world deployments, including serving as the submission platform for ICAIS 2025, demonstrating its potential as a fast, inclusive, and scalable research infrastructure for the AI era. AiraXiv is publicly available at this https URL.
科目: 人工智能 (cs.AI); 计算和语言 (cs.CL); 机器学习 (cs.LG)
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)