arXiv stat.ML July 17, 2026 · Papers

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence

arXiv:2510.16657v3 Announce Type: replace Abstract: Synthetic data has been increasingly used to train frontier generative models. However, recent studies raise key concerns that iteratively retraining a generative model on its self-generated synthetic data may keep deteriorating model performance, a phenomenon often c