AI RESEARCH
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
arXiv CS.LG
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ArXi:2604.25203v1 Announce Type: cross Deploying guardrails for custom policies remains challenging, as generic safety models fail to capture task-specific requirements, while prompting LLMs suffers from inconsistent boundary-case performance and high inference costs