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Visual perception agents can achieve significant performance gains by actively seeking information beyond a single glance, outperforming static models by up to 30 points on challenging benchmarks.
A mid-stack alignment objective can bind concepts in unified multimodal models with only a 0.1% loss in performance, compared to a staggering 41% loss using standard generative methods.
