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A staggering 8.8-18.4 point performance gap in AI agents reveals that multilingual capabilities are not just a nice-to-have, but a critical oversight in current evaluations.
Standard MCQA metrics can mislead evaluations by over 2 points due to phrasing sensitivity, but ParaEval cuts this gap to under 1 point, revealing true model capabilities.
