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Recursive self-improvement is the point at which AI models meaningfully improve the systems used to build, deploy, and evaluate the next versions of themselves.

We provide numerical results demonstrating our multimodal baselines’ superiority over single-modal techniques for each task. As a result, the proposed dataset and benchmark can open new perspectives ...