evalstats: Eliminating False Positives in LLM Judging with PPI-Corrected Tests
IanArawjo · x · 2026-07-24
The author shouts from the rooftops that you should never trust LLM judges without human calibration, as it is likely totally bogus. To properly mitigate this bias, the team is pioneering the only implementations of standard hypothesis tests via evalstats, utilizing PPI-corrected statistical tests that require only a small amount of human labels.
Related event: Eliminating LLM Evaluation False Positives with PPI-Corrected Tests(5 posts)→
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