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Equation 4 · Part 1 · The Benchmarks That Don't Need the Image

Symbol M

MG=Sv−Swv,ML=max⁡(0, Swv−St)MG = S_v - S_{wv}, \qquad ML = \max(0,\ S_{wv} - S_t)
MM

What this part means

M is the quantity selected or evaluated by the optimization written on the right.

Its job in the formula

M is the quantity selected or evaluated by the optimization written on the right.

The passage around this formula

The first is measurement-time ablation : take an already-trained system, rerun the exact same benchmark items with one channel removed at inference, and compare. This is what the original VQA paper did with its question-only baseline [ 1 ] , and it is what a 2024 audit of vision-language benchmarks did formally, by defining two paired metrics from three separately measured accuracies. Let SvS_v be a model’s accuracy on a benchmark with the image present, SwvS_{wv} its accuracy on the same items with the image withheld, and StS_t the accuracy of that same model’s underlying text-only language backbone, evaluated on its own before any multimodal training touched it. The audit’s two metrics are then…

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