Everything on Evaluation Methodology

Automated LLM judges exhibit a central tendency bias, clustering scores near the mean and failing to detect nuanced quality defects like broken code or constraint violations.

Impact: Relying solely on AI-as-judge benchmarks risks deploying subpar outputs; hybrid evaluation frameworks are essential for accurate quality assurance.

— from AI Model Benchmarking: Sonnet 5 vs. GPT 5.5 & Gemini 3 Pro · How I AI· Jul 01, 2026