AI RESEARCH
Generating and Refining Dynamic Evaluation Rubrics for LLM-as-a-Judge
arXiv CS.CL
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ArXi:2605.30568v1 Announce Type: new LLM-as-a-Judge is a scalable alternative to human evaluation, yet existing rubric-based methods rely on human-annotated data such as reference answers or expert-crafted rubrics. We propose to automatically generate fine-grained evaluation rubrics without any human annotation. Our