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Large Language ModelsarXiv cs.LGPublished: Apr 20, 2026, 13:00 JST

LLM-based data generators show promise for privacy-preserving synthetic data but struggle with statistical accuracy due to inherent AI biases.

PersonaLedger, an LLM-powered financial simulator, achieved fraud detection utility with AUC 0.70 at epsilon=1 when seeded with differentially private synthetic personas

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