[2404.01413v2] Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

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[2404.01413v2] Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Machine Learning arXiv:2404.01413v2 (cs) [Submitted on 1 Apr 2024 ( v1 ), last revised 29 Apr 2024 (this version, v2)] Title: Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Authors: Matthias Gerstgrasser , Rylan Schaeffer , Apratim Dey , Rafael Rafailov , Henry Slei

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• arxiv.org/pdf/2505.24832arxiv.org