AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
AiraXiv is a proposed AI-driven open-access platform designed for both human and AI scientists. It aims to address the challenges faced by traditional academic publishing systems due to the increasing volume of research outputs. The platform supports interactive user experiences and feedback-driven iterations to enhance the research process.
- ▪AiraXiv is built on open preprints and AI-augmented analysis and review.
- ▪The platform allows for continuous feedback-driven iteration of research papers.
- ▪It has been validated through real-world deployments, including serving as the submission platform for ICAIS 2025.
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Computer Science > Artificial Intelligence arXiv:2605.21481 (cs) [Submitted on 20 May 2026] Title:AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists Authors:Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang View a PDF of the paper titled AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists, by Junshu Pan and 7 other authors View PDF HTML (experimental) Abstract: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.
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