Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training | ScienceToStartup | ScienceToStartup

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References (37)

[1]

Reinforcement Learning via Self-Distillation

2026Jonas Hubotter, Frederike Lubeck et al.

[2]

Self-Distillation Enables Continual Learning

2026Idan Shenfeld, Mehul Damani et al.

[3]

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

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"Develop a high-performance supervised fine-tuning framework based on Distribution Discriminant Theory to achieve RL-like generalization in computationally efficient settings."

LLM Training•Score: 5•View PDF ↗

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Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training

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References (37)

Founder's Pitch

"Develop a high-performance supervised fine-tuning framework based on Distribution Discriminant Theory to achieve RL-like generalization in computationally efficient settings."

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Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training

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References (37)

Founder's Pitch

"Develop a high-performance supervised fine-tuning framework based on Distribution Discriminant Theory to achieve RL-like generalization in computationally efficient settings."

Commercial Viability Breakdown

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