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

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Qian Ma, Sarah Rajtmajer. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang 0001, David Jurgens, editors, Findings of the Association for Computational Linguistics, ACL 2026, San Diego, California, United States, July 2-7, 2026. pages 189-210, Association for Computational Linguistics, 2026. [doi]

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