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Judge alignment drops sharply as task difficulty increases, revealing a structural ceiling that model capacity alone cannot breach.
Current VLMs show alarming performance drops in long-context scenarios, revealing that they may be overfitting to benchmark artifacts rather than demonstrating true understanding.
