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TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling

TRACES is a representation-based proactive auditor that learns prefix-level trajectory risk states from the hidden representations of an observer LLM, and it is suggested that these risk states can help train a safer agent, highlighting the broader potential of proactive auditing for long-horizon agent safety.

Jia-Qian Li, Yanshu Li, Bo-Xuan Zhang et al. · 6 citations

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