AI RESEARCH
Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research
arXiv CS.AI
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ArXi:2604.09621v1 Announce Type: new We present an agent-driven approach to the construction of parameter inference pipelines for scientific data analysis. Our method leverages a multi-agent system, Cmbagent (the analysis system of the AI scientist Denario), in which specialized agents collaborate to generate research ideas, write and execute code, evaluate results, and iteratively refine the overall pipeline.