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Equation 6 · How Do We Know a Compressed Model Still Works?

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aia_i

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accuracy, or another per-task quality measure, on task i. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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aia_i

Symbol a_i

accuracy, or another per-task quality measure, on task i.

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subscript

subscript

The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.

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What the article says around this equation

where aia_i is accuracy, or another per-task quality measure, on task i , and wiw_i is that task’s share of the total, with the weights summing to one. The arithmetic makes the trap explicit: S can be almost unchanged by compression even when some single aia_i collapses, provided wiw_i for that task is small relative to the rest, or provided a rise elsewhere offsets the fall. A single published number, ninety-eight point six percent of baseline, or a small perplexity increase, cannot by construction distinguish “compression cost nothing” from “compression cost a great deal on one task nobody weighted heavily.” Both produce the same S .

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