BenchScope: How Many Independent Signals Does Your Benchmark Provide?

1. 1Calculate the centered benchmark-score spectrum
2. 2Compute the participation ratio of the spectrum to obtain the Effective Dimensionality (ED)
3. 3Apply ED at per-instance granularity to benchmarks across various domains
4. 4Analyze the results to identify substantial redundancy in benchmark scores

ML researchers and AI engineers benefit from understanding the redundancy in benchmark scores to improve model evaluations and comparisons

💡 Many AI benchmark scores may not carry independent information, and ED can help diagnose measurement breadth

💡 Introducing BenchScope: measuring independent signals in AI benchmarks with Effective Dimensionality (ED) #AI #ML