Large Language Models frequently exhibit overconfidence, where they generate incorrect information with high certainty, and poor calibration, where confidence scores do not align with prediction accuracy, can mislead clinicians into trusting inaccurate outputs.

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