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The paper introduces GROUND, a governed semantic-retrieval framework that constrains LLM-generated analytics to approved business definitions, effectively reducing hallucinations in enterprise data analysis while ensuring compliance with security and data policies.
This paper proposes an ontology-driven framework to ensure trustworthiness and auditability in large language model analytics for enterprise financial applications.