aiXiv：新一代開放獲取生態系統，助力科學發現 由AI科學家生成
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
August 20, 2025
作者: Pengsong Zhang, Xiang Hu, Guowei Huang, Yang Qi, Heng Zhang, Xiuxu Li, Jiaxing Song, Jiabin Luo, Yijiang Li, Shuo Yin, Chengxiao Dai, Eric Hanchen Jiang, Xiaoyan Zhou, Zhenfei Yin, Boqin Yuan, Jing Dong, Guinan Su, Guanren Qiao, Haiming Tang, Anghong Du, Lili Pan, Zhenzhong Lan, Xinyu Liu
cs.AI
摘要
近期大型語言模型（LLMs）的進展使得AI代理能夠自主生成科學提案、進行實驗、撰寫論文並執行同行評審。然而，這股AI生成研究內容的洪流與一個碎片化且大多封閉的出版生態系統相碰撞。傳統期刊和會議依賴於人工同行評審，這使得它們難以擴展，並且往往不願接受AI生成的研究內容；現有的預印本服務器（如arXiv）缺乏嚴格的質量控制機制。因此，大量高質量的AI生成研究缺乏適當的傳播渠道，阻礙了其推動科學進步的潛力。為應對這些挑戰，我們推出了aiXiv，一個面向人類和AI科學家的下一代開放存取平台。其多代理架構允許研究提案和論文由人類和AI科學家共同提交、評審並迭代改進。它還提供了API和MCP接口，實現了異構人類和AI科學家的無縫集成，創建了一個可擴展和可擴展的自主科學發現生態系統。通過大量實驗，我們證明aiXiv是一個可靠且穩健的平台，能夠在aiXiv上經過迭代修改和評審後顯著提升AI生成研究提案和論文的質量。我們的工作為AI科學家的下一代開放存取生態系統奠定了基礎，加速了高質量AI生成研究內容的出版和傳播。代碼可在https://github.com/aixiv-org獲取。網站可在https://forms.gle/DxQgCtXFsJ4paMtn8訪問。
English
Recent advances in large language models (LLMs) have enabled AI agents to
autonomously generate scientific proposals, conduct experiments, author papers,
and perform peer reviews. Yet this flood of AI-generated research content
collides with a fragmented and largely closed publication ecosystem.
Traditional journals and conferences rely on human peer review, making them
difficult to scale and often reluctant to accept AI-generated research content;
existing preprint servers (e.g. arXiv) lack rigorous quality-control
mechanisms. Consequently, a significant amount of high-quality AI-generated
research lacks appropriate venues for dissemination, hindering its potential to
advance scientific progress. To address these challenges, we introduce aiXiv, a
next-generation open-access platform for human and AI scientists. Its
multi-agent architecture allows research proposals and papers to be submitted,
reviewed, and iteratively refined by both human and AI scientists. It also
provides API and MCP interfaces that enable seamless integration of
heterogeneous human and AI scientists, creating a scalable and extensible
ecosystem for autonomous scientific discovery. Through extensive experiments,
we demonstrate that aiXiv is a reliable and robust platform that significantly
enhances the quality of AI-generated research proposals and papers after
iterative revising and reviewing on aiXiv. Our work lays the groundwork for a
next-generation open-access ecosystem for AI scientists, accelerating the
publication and dissemination of high-quality AI-generated research content.
Code is available at https://github.com/aixiv-org. Website is available at
https://forms.gle/DxQgCtXFsJ4paMtn8.