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

A study examines whether large language models conditioned on physical diagnostic descriptions can propose informative parameter updates for calibrating expensive engineering simulators more efficiently than conventional derivative-free optimizers, testing the approach on a cylinder-wake Large-Eddy Simulation and a damped-oscillator inverse problem.