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Apparent "centrist" alignment in smaller language models often masks degenerate response collapse rather than genuine neutrality, exposing deep measurement artifacts in standard political benchmark evaluations.
Boundary localization errors in table structure recognition can be drastically reduced by treating rows and columns with distinct structural priorities, leading to up to +1.6 GriTS points improvement in accuracy.
