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LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture Search

Yoshimura, Masakazu et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmachine-learning
Neural Architecture Search (NAS) aims to automatically discover high-performing deep neural network (DNN) architectures. However, conventional algorithm-driven NAS relies on carefully hand-crafted search spaces to ensure executability, which restricts open-ended exploration. Recent coding-based agen
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