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Teaching Small AI Models to Learn From Their Own Mistakes

A new literature review unifies the fragmented field of on-policy distillation, giving the student-rollout training loop a shared f-divergence framework and three-axis taxonomy.

Teaching Small AI Models to Learn From Their Own Mistakes
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AlphaSignal
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AlphaSignal Newsroom
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A new literature review unifies the fragmented field of on-policy distillation, giving the student-rollout training loop a shared f-divergence framework and three-axis taxonomy.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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