LLMs with two prompting strategies and model validation tools produce mostly syntactically correct, conforming, semantically realistic and diverse instances of UML class diagrams.
Large language models as oracles for instantiating ontologies with domain-specific knowledge
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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.