Effective strategies for addressing poor calibration in large language models include probabilistic modeling, confidence-aware training, and ensemble methods, which enable models to provide uncertainty estimates alongside predictions.

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 (2)

• Large Language Models concept
• uncertainty estimation concept