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Jung-jae Kim

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Jul 2026

Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction

This work presents the first systematic meta-evaluation of LLM-generated rubrics intrinsically by semantic similarity and extrinsically by score alignment with ground-truth rubrics, and meta-evaluate generated rubrics intrinsically and extrinsically by score alignment with ground-truth rubrics.

Han-Hua Hong, Yizhi Li, Jiaoyan Chen et al. · 3 citations · ⚡1

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