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KinRT achieves over 23% improvement in expert routing accuracy by leveraging kinematic archetypes, transforming how MoE systems can operate without kinematic signals at inference.
Evolving prompts and verifying answers can boost visual reasoning model accuracy by over 19%鈥攁 game changer for scaling reliable data in AI.
Smaller models can significantly enhance the training of larger models by providing structured exploration signals that improve performance without the noise of traditional methods.
