Fast and Effective On-policy Distillation from Reasoning Prefixes | ScienceToStartup | ScienceToStartup

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References (21)

[1]

SelecTKD: Selective Token-Weighted Knowledge Distillation for LLMs

2025Haiduo Huang, Jiangcheng Song et al.

[2]

LLM-Oriented Token-Adaptive Knowledge Distillation

2025Xurong Xie, Zhucun Xue et al.

[3]

Defeating Nondeterminism in LLM Inference

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"Enhance AI model training efficiency by focusing on distillation of reasoning prefixes to halve computational requirements."

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Fast and Effective On-policy Distillation from Reasoning Prefixes

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References (21)

Founder's Pitch

"Enhance AI model training efficiency by focusing on distillation of reasoning prefixes to halve computational requirements."

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Fast and Effective On-policy Distillation from Reasoning Prefixes

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References (21)

Founder's Pitch

"Enhance AI model training efficiency by focusing on distillation of reasoning prefixes to halve computational requirements."

Commercial Viability Breakdown

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