Identifying Uncertainty in LLMs for Clinical Applications
Published:Nov 27, 2025 12:26
•1 min read
•ArXiv
Analysis
This research, published on ArXiv, explores the critical issue of uncertainty in Large Language Models (LLMs) within a clinical context. Understanding and mapping linguistic uncertainty is vital for ensuring the reliability and safety of LLMs in healthcare applications.
Key Takeaways
- •The research aims to improve the trustworthiness of LLMs in clinical settings.
- •Mapping uncertainty helps mitigate potential risks associated with LLM outputs.
- •The work contributes to the development of safer and more reliable AI tools for healthcare.
Reference
“The study focuses on locating linguistic uncertainty in LLMs.”