ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
arXiv:2510.18232v2 Announce Type: replace
Abstract: Generating high-quality synthetic text under differential privacy (DP) is critical for training and evaluating language models without compromising user privacy. Prior work on synthesizing DP dataset…