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Targeted verification can boost reasoning accuracy by over 27 percentage points while using 37% fewer tokens, transforming how we evaluate model outputs.
Compact models like VibeThinker-3B can achieve frontier-level reasoning performance, rivaling much larger counterparts without losing controllability.
