Uncertainty Quantification in Large Language Models Through Convex Hull
Analysis

Uncertainty Quantification in Large Language Models Through Convex Hull Analysis

28 June 2024

Ferhat Ozgur Catak

Papers citing "Uncertainty Quantification in Large Language Models Through Convex Hull Analysis"

5 / 5 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 85 0 0 25 Apr 2025
How Ethical Should AI Be? How AI Alignment Shapes the Risk Preferences of LLMs Shumiao Ouyang Hayong Yun Xingjian Zheng 44 4 0 03 Jun 2024
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law Z. Chen Jing Ma Xinlu Zhang Nan Hao An Yan Armineh Nourbakhsh Xianjun Yang Julian McAuley Linda R. Petzold William Yang Wang ELM AILaw 35 32 0 02 May 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 50 23 0 29 Mar 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015