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Judge Reliability Harness
0
Zitationen
6
Autoren
2026
Jahr
Abstract
RAND researchers developed the Judge Reliability Harness (JRH), which provides an end-to-end framework for evaluating the reliability of automated large language model (LLM) judges used in AI benchmarking and evaluation tasks. It generates and executes configurable test suites. By making reliability testing configurable, reproducible, and inexpensive, JRH aims to support more transparent use of LLM judges in research and deployment contexts
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