AI RESEARCH
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
arXiv CS.AI
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ArXi:2605.04057v1 Announce Type: cross This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural knowledge while exploring new designs under expensive evaluations. Large language models (LLMs) are a promising assistant for NAS because they can translate rich architectural and coding priors into executable code edits.