From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources

arXiv:2602.10531v2 Announce Type: replace-cross Abstract: The problem of model collapse has presented new challenges in iterative training of generative models, where such training with synthetic data leads to an overall degradation of performance. This paper looks at the prob...

🔗 Read more: https://arxiv.org/abs/2602.10531

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