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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.
SLMs can leapfrog performance on complex software engineering tasks by learning *when* to ask for help from larger models, achieving a 25% gain on SWE-bench with minimal expert queries.
