Foundation models generate hallucinations because their autoregressive training objectives prioritize token-likelihood optimization over epistemic accuracy, leading to overconfidence and poorly calibrated uncertainty.

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 (2)

• hallucination concept
• foundation models concept