Retrieval-Augmented Generation (RAG) (Lewis et al., 2020), Grounded pretraining (Zhang et al., 2023), and contrastive decoding techniques (Li et al., 2022) have been explored to counter hallucinations by integrating external knowledge sources during inference or introducing architectural changes that enforce factuality.

Authors

• Person: Not available Organization: Frontiers
  Survey and analysis of hallucinations in large language models

Sources

• Survey and analysis of hallucinations in large language models www.frontiersin.org Frontiers via serper

Referenced by nodes (2)

• hallucination concept
• Retrieval-Augmented Generation (RAG) concept