Introduces a cross-validation-based evaluation methodology for LLM security detectors using a global threshold and group-fold leakage checks to avoid per-dataset tuning.
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Gate AI: LLM Security Benchmark Evaluation Methodology and Results
Introduces a cross-validation-based evaluation methodology for LLM security detectors using a global threshold and group-fold leakage checks to avoid per-dataset tuning.