Open-Source Tool rubric-bench Brings Regression Testing to LLM Grading Systems

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Developer teams routinely deploy LLM-based judges and graders to production without formal testing, leaving their behavior vulnerable to silent regressions from model updates or prompt changes. To address this, a new open-source TypeScript library and CLI called rubric-bench v0.1 has been released, treating LLM grading engines like any other code subject to automated testing. The tool uses versioned JSON golden sets of labeled cases and compares grader outputs across runs, flagging regressions via exit codes that can halt CI pipelines before a breaking change is merged. An initial 72-case benchmark for introductory statistics showed the tested grader scoring 95.8%, with all three errors falling in the partial-credit gray zone where human graders also tend to disagree. The authors note that the approach generalizes beyond academic grading to tasks like content moderation and ticket triage, provided teams use discrete verdict labels rather than continuous scores.

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