The paper introduces a multi-agent LLM framework using ReAct-style agents with self-reflection for classifying telecom queries, anonymizing PII via k-anonymity and differential privacy, and translating expert responses for end users.
The emerged security and privacy of llm agent: A survey with case studies
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Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection
The paper introduces a multi-agent LLM framework using ReAct-style agents with self-reflection for classifying telecom queries, anonymizing PII via k-anonymity and differential privacy, and translating expert responses for end users.
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