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AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

Li, Yifei et al.
arXiv (All) · Papers
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computation-and-language
Despite long-standing efforts in accelerating scientific discovery with AI, building AI co-scientists remains challenging due to limited high-quality data for training and evaluation. To tackle this data scarcity issue, we present AutoSDT, an automatic pipeline that collects high-quality coding task
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