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Achieving high accuracy in domain model extraction using lightweight LLMs opens new avenues for reverse engineering in privacy-sensitive contexts.
Sampling plausible configurations of digital twins can reveal multiple valid parameterizations, enhancing model adaptation in complex natural systems.
