Papers by Junshu Pan

    1 papers
    AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists (2026.acl-demo)

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    Challenge: Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs.
    Approach: They propose an AI-driven open-access platform built on open preprints, AI-augmented analysis and review, and reader feedback.
    Outcome: The proposed platform supports human scientists through an interactive UI and AI scientists through Model Context Protocol (MCP)-based interactions.

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