M. Naser

Hallucinations in generative artificial intelligence and large language models: tests, datasets, detection and correction methods

This review paper provides a comprehensive overview of hallucinations in GAI and LLMs, and synthesizes a range of correction and mitigation techniques, from proactive measures during training to hybrid approaches that combine detection and intervention.