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When AI Trains on Its Own Output: The Model Collapse Problem
Warns of "model collapse" in LLMs trained on synthetic data from prior models, urging preservation of human-generated data. One of 2024's most influential papers.
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By Shaoqing TanWarns of "model collapse" in LLMs trained on synthetic data from prior models, urging preservation of human-generated data. One of 2024's most influential papers.