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News/Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
arxiv
PublishedApril 14, 2026 at 4:00 AM

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation

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arXiv:2604.07486v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have emerged as a powerful tool for synthetic data generation. A particularly important use case is producing synthetic replicas of private text, which requires carefully balancing privacy and utility. We propose

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