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Agents excel at selecting knowledge sources but struggle with actual task completion, achieving only 56.1-75.3% accuracy in answers despite near-perfect routing.
LLMs can now be benchmarked for their ability to prepare training data, revealing that a new evaluation metric outperforms traditional methods in predicting downstream utility.
Curriculum-aligned training can dramatically improve educational LLM performance, revealing that existing models are underprepared for structured knowledge tasks.