Use of model-generated content in training causes irreversible loss of distribution tails, termed model collapse, in VAEs, GMMs, and LLMs.
Sponge examples: Energy-latency attacks on neural networks
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The Curse of Recursion: Training on Generated Data Makes Models Forget
Use of model-generated content in training causes irreversible loss of distribution tails, termed model collapse, in VAEs, GMMs, and LLMs.