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Most KD frameworks treat student and teacher models equally. KDFlow separates their roles, making it easier to distill large LLMs into smaller ones. If your model can't handle the teacher's complexity, you're stuck. KDFlow changes that.
“arXiv:2603.01875v3 Announce Type: replace-cross Abstract: Knowledge distillation (KD) is an essential technique to compress large language models (LLMs) into smaller ones. However, despite the distinct roles of the student model and the tea…”
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ACTIVE
CATEGORY
Models
EVIDENCE
Not yet assessed
ENTITY
KDFlow, knowledge distillation, Large Language Models
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 3, 2026