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York University
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AgentExecutor outperforms existing methods by achieving up to 94% code coverage while slashing execution time by over 80%.
CARVE slashes visual token usage by 80% while maintaining nearly all performance, reshaping how we approach token allocation in 3D medical imaging.
Coding agents struggle with non-functional improvements, scoring as low as 1.3 on structural changes compared to human developers' 1.5.
