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Achieving efficient uncertainty quantification in multi-modal regression could redefine the landscape of trustworthy large-scale learning.
MemGUI-Agent achieves unprecedented long-horizon task performance by proactively managing context, outperforming traditional methods that struggle with prompt dilution.
MobileForge achieves a remarkable 77.6% Pass@3 score for mobile GUI agents using only annotation-free adaptation data, setting a new standard in the field.
