Handing Wang
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126
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Neural Computing×1
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2026
Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design
This paper proposes SHA-PF, a search hardness-aware LLM-based problem formulation framework for expensive simulation-driven design, which prioritizes rare samples with greater progress potential and requires significantly fewer evaluations to reach design requirements.
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