作者位次 #2/2ACL 2026Findings· Findings of ACL
Private Seeds, Public LLM s: Realistic and Privacy-Preserving Synthetic Data Generation
Qian Ma · Sarah Rajtmajer
摘要
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 Realistic and Privacy-Preserving Synthetic Data Generat...