AIJul 2, 2025

Using multi-agent architecture to mitigate the risk of LLM hallucinations

arXiv:2507.01446v11 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of hallucination for companies using LLMs in customer service, but it appears incremental as it combines existing techniques.

The paper tackles the problem of LLM hallucinations in customer service by proposing a multi-agent system that integrates LLM-based agents with fuzzy logic, resulting in a method to mitigate these risks.

Improving customer service quality and response time are critical factors for maintaining customer loyalty and increasing a company's market share. While adopting emerging technologies such as Large Language Models (LLMs) is becoming a necessity to achieve these goals, the risk of hallucination remains a major challenge. In this paper, we present a multi-agent system to handle customer requests sent via SMS. This system integrates LLM based agents with fuzzy logic to mitigate hallucination risks.

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