WISD Improves Reasoning Models via Self-Distillation
October 27, 2026
The Weakening-Induced On-Policy Self-Distillation (WISD) method improves reasoning models without external teachers by using quantization or magnitude pruning to create a weaker counterpart. The difference between the original and weakened model serves as the training signal for self-improvement.
HOW THIS AFFECTS YOU
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builderYou can implement similar distillation techniques to enhance model performance without needing expensive teacher models.
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researcherThis method offers a way to scale reasoning capabilities using only unlabeled data.