Stateful guardrails for multi-turn LLM systems address conversational risk accumulation by tracking session-layer trajectory signals to detect gradual intent drift, fragmented instruction assembly, and repeated disclosures.
Read the original at arxiv.org→arXiv:2607.19361v1 Announce Type: new Abstract: Most safety guardrails for large language models (LLMs) evaluate each prompt-response pair in isolation, which misses failures that arise only over a dialogue as...
Original headline: "Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework"
Coverage timeline
- Jul 23, 04:00 UTC arXiv cs.CL lead source Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework