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When is a large language model a good calibration agent? Physics-labeled prompting for budgeted engineering simulator calibration

arXiv cs.LG ↗ · 2026-10-19 Cached

This paper evaluates whether an LLM can serve as a calibration agent for expensive engineering simulators, finding that physics-labeled prompts cut early calibration error 22-fold but lose their advantage after about ten runs, so a hybrid warm-start plus numerical optimizer workflow reaches target accuracy in 9 runs versus 17 for Nelder-Mead.

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