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When is a large language model a good calibration agent? Physics-labeled prompting for budgeted engineering simulator calibration
Calibrating expensive engineering simulators requires tuning model parameters to match reference data, a process heavily constrained by computational costs. This study investigates whether Large Language Models (LLMs), conditioned on physical diagnostic descriptions of simulation errors, can propose
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