Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs

Documenti analoghi

• Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
  di: Naderi, Nariman, et al.
  Pubblicazione: (2025)
• The challenge of uncertainty quantification of large language models in medicine
  di: Atf, Zahra, et al.
  Pubblicazione: (2025)
• State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability
  di: Danaei, Saeide, et al.
  Pubblicazione: (2025)
• ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAG
  di: Atf, Zahra, et al.
  Pubblicazione: (2025)
• Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
  di: Atf, Zahra, et al.
  Pubblicazione: (2025)