Retrieval-augmented generation (RAG) is highly interpretable and controllable because it explicitly cites and grounds outputs in retrieved knowledge, making it valuable for clinical applications as noted by Rodriguez et al. (2024).

Authors

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

Sources

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

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept