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Self-Distillation eliminates the need for a separate teacher model, allowing the model to learn from its own historical checkpoints or high-quality outputs generated during current inference.
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10/7/2026
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UnverifiedSTaR (Self-Taught Reasoner) and various distillation schemes are representative examples of imitation learning methods.73% similarUnverifiedThe core difference between self-distillation and traditional knowledge distillation is that the teacher and student can be the same model, or outputs produced by the model itself at different training stages or from different perspectives.69% similarUnverifiedThe distillation in this project treats unstructured expert human experience as the teacher, converting tacit knowledge into explicit executable rules via LLM, which differs from traditional model distillation (large model teaching a small model).68% similarUnverifiedThe core of the Socratic teaching method is that teachers do not directly impart answers, but instead stimulate learners to reflect and reach conclusions on their own through continuous questioning.67% similarUnverifiedModel distillation is a technique in deep learning for transferring knowledge from a teacher model to a student model.65% similar
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