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#bias
1 articles
01
2026-09-03
·
Evaluation & Judging
·
FREE
·
PAPER
·
10 min read
LLM-as-a-Judge from Scratch — How AI Grades AI, and Where It Breaks
A ground-up guide to using one model to grade another. Covers reading a verdict as a probability distribution, the three recurring biases (position, verbosity, self-enhancement), why pairwise comparison cost grows quadratically, and how to validate the judge itself against human labels.