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Compact models can now outperform massive systems like GPT-4o in document translation by leveraging a new metric that prioritizes structural fidelity.
SARA unlocks the potential of low-resource languages in multilingual models by aligning their expert routing with high-resource anchors, leading to measurable performance gains.
