A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Understand

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 on limited tasks, LLMs have been exposed to vast amounts of online text data during training.