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Artificial Intelligence Innovation and Incubation Institute, Fudan University
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By iteratively challenging LLMs with adaptively generated test cases, this low-code platform co-optimizes code and tests, bypassing the need for manual prompt engineering and boosting reliability in AI-for-Science workflows.