Results for “grade-evidence-grading”

Provides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.

Runs regression evaluations comparing agent edits against human-approved golden projects, and registers new goldens after human approval.