Systematic Research on Hallucination Detection in Large Language Models: Identifying and Mitigating Reliability Issues in AI-Generated Content

Introduction / Main Floor: Systematic Research on Hallucination Detection in Large Language Models: Identifying and Mitigating Reliability Issues in AI-Generated Content

This article deeply explores systematic methods for hallucination detection in large language models, analyzes the causes of hallucination phenomena, detection techniques, and mitigation strategies, and provides a comprehensive technical perspective for improving the reliability of AI-generated content.