RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents
英文标题：RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents
arXiv:2607.16215v1 Announce Type: new Abstract: Existing guardrail systems for large language model agents operate as binary classifiers that block unsafe content, leaving organizations to discard failing outputs and retry from scratch. We introduce RAIL Guard, a closed-loop responsible AI pipeline
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arXiv:2607.16215v1 Announce Type: new Abstract: Existing guardrail systems for large language model agents operate as binary classifiers that block unsafe content, leaving organizations to discard failing outputs and retry from scratch. We introduce RAIL Guard, a closed-loop responsible AI pipeline
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