Correlations of model rankings across benchmark dimensions, instances, and math benchmarks show substantial redundancy, with rank correlations saturating at around 50% of instances in most benchmarks.
It is computed as: PLCC = Pn i=1(xi − ¯x)(yi − ¯y)pPn i=1(xi − ¯x)2pPn i=1(yi − ¯y)2 , where: • xi and yi are the data points, • ¯x and ¯y are the means of x and y, respectively
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Redundancy Principles for MLLMs Benchmarks
Correlations of model rankings across benchmark dimensions, instances, and math benchmarks show substantial redundancy, with rank correlations saturating at around 50% of instances in most benchmarks.