Renpu Tian

Model Collapse in Recursive Synthetic Data Training: Mechanisms, Evaluation, and Mitigation Strategies

Generative models increasingly produce content that can enter later training corpora, creating recursive synthetic-data feedback loops. This review examines when such loops cause model collapse and when synthetic data remain useful. It synthesizes theoreti cal, empirical, and methodological evidence across language, di...