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A structured evidence-state approach can boost omni-modal QA accuracy by over 30%, transforming how agents gather and validate information across diverse sources.
Forget instruction-following difficulty; this paper shows that evaluating how well the *answer* predicts the *query* is a surprisingly effective way to filter noisy synthetic code data.
