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Adaptive interleaved reasoning boosts MLLMs' numerical computation accuracy by nearly 10 percentage points, revolutionizing their tool-use capabilities.
Visual artifacts are not just supplementary; they are essential for ensuring code correctness in multimodal programming tasks.