A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

**Paper**: https://arxiv.org/abs/2401.01313

**Abstract**:

>As Large Language Models (LLMs) continue to advance in their ability to write human-like text, a key challenge remains around their tendency to hallucinate generating content that appears factual but is ungrounded. This issue of hallucination is arguably the biggest hindrance to safely deploying these powerful LLMs into real-world production systems that impact people's lives. The journey toward widespread adoption of LLMs in practical settings heavily relies on addressing and mitigating hallucinations. Unlike traditional AI systems focused …

abstract advance challenge hallucination human human-like impact issue journey key language language models languagetechnology large language large language models llms people production systems text world