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The paper introduces a generator that creates consistent fictional enterprise data without real datasets, using reference-free evaluation methods to ensure realism, and includes a hosted service for building relational databases from business questions.
This paper proposes a diagnostic framework to assess whether an LLM-judge can effectively evaluate candidate skills in optimization tasks without a reference verifier, focusing on competence and discriminability metrics.