KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning
KACE introduces Knowledge-Adaptive Context Engineering, a method to improve frozen language models for math by managing learned knowledge. It creates a structured knowledge base of typed cards stratified by problem difficulty and domain. This allows the system to dynamically select only relevant knowledge based on the problem's specific needs, outperforming fixed context strategies.