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Traditional research papers are costing AI agents valuable information, leading to a 21.3% drop in question-answering accuracy, a problem ARAs are designed to fix.
Forget brute-force scaling: crafting the *right* context from past experiences unlocks surprisingly large gains in LLM agent performance.