PPI-Corrected Tests Boost Signal Detection in LLM Evals with Partial Human Labels
IanArawjo · x · 2026-08-06
The author shared insights into statistical methods for AI evaluations, highlighting how PPI-corrected tests (such as rank-based Wilcoxon signed-ranks tests) can increase the statistical power to detect real effects using only a subset of human labels.
While this approach significantly improves signal detection compared to traditional methods on partial data, it still falls short of the performance achieved with a fully human-labeled dataset.
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