Strong-to-Weak Scaffolding Nearly Doubles Small Model Accuracy

Salesforce AI and UIUC propose Strong-to-Weak Scaffolding, where a strong Builder model scaffolds weaker models using only 5% of the validation set without training them, boosting GPT-5.4-mini's accuracy from 0.488 to 0.912.

2026-08-30 ~ 2026-08-31 · 2 related posts

• Strong Models Design Harnesses for Weak Ones: Accuracy Nearly Doubles Without Training — 机器之心 · 2026-08-30

1 near-duplicate retellings: 青稞AI