High uncertainty in a Large Language Model's outputs, indicated by low sequence probabilities or high semantic entropy, suggests the model is generating content without strong grounding in its training data, as noted by Asgari et al. (2024) and Vishwanath et al. (2024).

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

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• 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 (2)

• training data concept
• semantic entropy concept