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From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
Rubric-based text evaluation increasingly relies on large language models (LLMs) as scalable judges, yet frozen black-box models can interpret the same criteria inconsistently, produce score attributions that are difficult to audit, and map judgments poorly onto human scoring scales. We define this
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