SAGO Framework Evaluates LLM Generalization via Stability

The Stability-Aware Generalization Objective (SAGO) argues that true generalization is semantic stability across input variations rather than aggregate accuracy. It introduces a multi-axis evaluation framework to measure variability at the individual example level.