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TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation
On-policy self-distillation (OPSD) enables a language model to learn from a Teacher instantiated from the same model but given access to privileged information, such as a reference solution. We find that access to sufficient privileged information allows the Teacher to generate highly accurate traje
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