Encouraging large language models to output uncertainty estimates or alternative explanations can address overconfidence and premature closure biases, particularly when users are guided to critically evaluate multiple options.

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 (3)

• Large Language Models concept
• overconfidence bias concept
• uncertainty estimation concept