Ruo-Qian Wang

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

This study investigates whether Large Language Models, conditioned on physical diagnostic descriptions of simulation errors, can propose informative parameter updates more efficiently than conventional derivative-free optimizers, and introduces a hybrid workflow that uses the LLM as a warm-start, passing accumulated ev...