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Progressive Misalignment Can Emerge from Benign Recursive Self-Distillation

Sadek, Karim Abdel et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
Training models on their own outputs has attracted widespread attention as a possible route to advance AI capabilities. One prominent approach is self-distillation, where a model is trained to match the token-level predictions it would have produced when given access to additional context, such as a
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