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ViaMOBO reveals that understanding variable interactions can drastically enhance optimization efficiency in high-dimensional spaces, outperforming traditional methods.
Visual Evidence Pre-Alignment boosts MLLM performance by ensuring models effectively utilize fine-grained visual evidence, rather than just relying on coarse captions.
