AI NewsSkill-Conditioned Gated Self-Distillation for LLM Reasoning
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Summary
Researchers propose a new method, Skill-Conditioned Gated Self-Distillation, to improve large language model (LLM) reasoning capabilities. The approach involves distilling knowledge from a teacher model to a student model, conditioned on specific skills.
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| arXiv AI | Skill-Conditioned Gated Self-Distillation for LLM Reasoning | 5/29/2026, 1:35:13 AM |
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