KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning 事件

KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning arXiv:2606.00532v1 Announce Type: new Abstract: Context engineering can improve large language models without updating their weights, but mathematical reasoning exposes a key limitation: feedback accumulated in one growing prompt causes context bloat and limits the amount of learned guidance that can be used. Existing methods often conflate storage, what is learned across runs, with usage, what is included for a particular