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Allocating extra computation during decision-making boosts robot manipulation success rates, revealing a critical strategy for handling complex tasks.
A staggering 31.85% of model responses in pulmonary nodule assessments exhibited imaging hallucinations, revealing alarming safety risks in AI-driven clinical decision-making.
Bridging the Understanding-Action Gap leads to a 4.5% revenue increase by refining recommendation policies through direct user feedback rather than linguistic reasoning alone.
DAER enables Video-MLLMs to adapt to new domains without sacrificing previously learned knowledge, outperforming traditional methods that struggle with cross-domain interference.
$\tau_0$-WM outperforms traditional models by seamlessly integrating action prediction and evaluation, leading to superior performance in complex robotic tasks.
