Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives | ScienceToStartup | ScienceToStartup

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References (19)

[1]

ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection

2026Tao Liu, Taiqiang Wu et al.

[2]

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting

2026Muxi Diao, Lele Yang et al.

[3]

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning

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"Dynamic Entropy Fine-Tuning (DEFT) offers a novel approach to improve supervised fine-tuning of models by dynamically adjusting token-level weighting according to predictive distribution concentration."

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Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives

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References (19)

Founder's Pitch

"Dynamic Entropy Fine-Tuning (DEFT) offers a novel approach to improve supervised fine-tuning of models by dynamically adjusting token-level weighting according to predictive distribution concentration."

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Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives

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References (19)

Founder's Pitch

"Dynamic Entropy Fine-Tuning (DEFT) offers a novel approach to improve supervised fine-tuning of models by dynamically adjusting token-level weighting according to predictive distribution concentration."

Commercial Viability Breakdown

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