AIBullisharXiv – CS AI · 6h ago7/10
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KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning
Researchers introduce KACE, a novel context engineering method that improves large language models' mathematical reasoning by separating knowledge storage from usage through difficulty and domain-based organization. The approach achieves 62.2% accuracy on AIME 2025, significantly outperforming existing self-consistency methods while maintaining comparable computational efficiency.