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MLLMs still struggle to recognize themselves in a mirror, revealing surprising gaps in their self-centric understanding despite advances in other areas.
LLMs can now predict other LLMs' performance with 14% higher accuracy, even when only seeing one or two data points, by blending statistical priors with reasoning.
