Rethinking Correctness for Uncertainty Estimation in Clinical Prediction with Vision-Language Models

arXiv:2609.15180 · cs.LG · Submitted 2026-09-14 · Read on arXiv

cs.LG

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 5 pages, 3 figures

Code: https://github.com/JasonZuu/EHR-Correctness

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fidelity — 18× in this paper · explained in 2 episodes
• Uncertainty Estimation — 9× in this paper
• Consistency — 8× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Hallucination — 3× in this paper · explained in 3 episodes
• Hallucination Detection — 2× in this paper · explained in 2 episodes
• Acceptance Bias — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Towards Generation-Efficient Uncertainty Estimation in Large Language Models
• The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
• Estimating LLM Uncertainty with Evidence

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