Bingji Yi

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

Synthetic data has been increasingly used to train frontier generative models. However, recent study raises key concerns that iteratively retraining a generative model on its self-generated synthetic data may keep deteriorating model performance, a phenomenon often coined model collapse. In this pap…