Medical Large Language Models struggle to generalize beyond their training data when faced with rare diseases, novel treatments, or atypical clinical presentations, often producing erroneous or irrelevant outputs when trained on imbalanced datasets.

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)

• Large Language Models concept