2026
A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
ICML 2026poster
Automated \enquote{LLM-as-a-Judge} frameworks have become the de facto standard for scalable evaluation across natural language processing. For instance, in safety evaluation, these judges are relied upon to evaluate harmfulness in order to benchmark the robustness of safety against adversarial atta…