Training Data & Post-TrainingGerstgrasser et al.
Is Model Collapse Inevitable?
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Is Model Collapse Inevitable?
Why it matters
Proved that replacing real data leads to collapse but accumulating it keeps a finite upper bound on error, redefining the model-collapse discourse
Source — Primary sources first; secondary reports are labelled “Press”
Paperarxiv.orghttps://arxiv.org/abs/2404.01413Added in Week 35, 2026 · See that week
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