Lewis et al. (2021) introduced retrieval-augmented generation (RAG) as a technique for knowledge-intensive natural language processing tasks.

Authors

• Person: Not available Organization: Nature
  A framework to assess clinical safety and hallucination rates of LLMs ...
• Person: Not available Organization: Frontiers
  Survey and analysis of hallucinations in large language models
• Person: Not available Organization: Academic Journal of Science and Technology
  Knowledge Graph Combined with Retrieval-Augmented Generation ...
• Person: Not available Organization: arXiv
  Efficient Knowledge Graph Construction and Retrieval from ... - arXiv

Sources

• A framework to assess clinical safety and hallucination rates of LLMs ... www.nature.com Nature via serper
• Survey and analysis of hallucinations in large language models www.frontiersin.org Frontiers via serper
• Knowledge Graph Combined with Retrieval-Augmented Generation ... drpress.org Academic Journal of Science and Technology via serper
• Efficient Knowledge Graph Construction and Retrieval from ... - arXiv arxiv.org arXiv via serper

Referenced by nodes (3)

• Retrieval-Augmented Generation (RAG) concept
• RAG concept
• natural language processing concept