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The document discusses advancements in automated domain modeling using Large Language Models (LLMs) and human interaction, emphasizing the role of statistical methods and prompt engineering. It highlights the shift from static generation to iterative and interactive approaches, which improve accuracy and user control in domain modeling. The paper proposes a framework that combines LLM automation with human feedback to create semantically rich and reliable models.

Author
aman685836
Language
EN

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