Retrieval-Augmented Generation (RAG) techniques face challenges including the propagation of errors from poor retrieval results, high system maintenance overhead for curating up-to-date retrieval corpora, and the potential for model performance degradation due to the integration of misleading or conflicting information from low-quality sources.

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their Impact on ...

Sources

• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept