LLMs with two prompting strategies and model validation tools produce mostly syntactically correct, conforming, semantically realistic and diverse instances of UML class diagrams.
Uniform random generation of huge metamodel instances,
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LLM-based Generation of Semantically Diverse and Realistic Domain Model Instances
LLMs with two prompting strategies and model validation tools produce mostly syntactically correct, conforming, semantically realistic and diverse instances of UML class diagrams.