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Position Paper On Diagnostic Uncertainty Estimation from Large Language
  Models: Next-Word Probability Is Not Pre-test Probability

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

medRxiv (medRxiv), 2024
7 November 2024
Yanjun Gao
Skatje Myers
Shan Chen
Dmitriy Dligach
Timothy A. Miller
Danielle S. Bitterman
Guanhua Chen
Anoop Mayampurath
M. Churpek
Majid Afshar
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability"

2 / 2 papers shown
Title
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
Maya Kruse
Majid Afshar
Saksham Khatwani
Anoop Mayampurath
Guanhua Chen
Yanjun Gao
UQCV
167
0
0
09 Jul 2025
Using tournaments to calculate AUROC for zero-shot classification with LLMs
Using tournaments to calculate AUROC for zero-shot classification with LLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2025
WonJin Yoon
Ian Bulovic
Timothy A. Miller
181
1
0
20 Feb 2025
1