Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents

28 May 2025

Papers citing "Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents"

7 / 7 papers shown

Title
Flow Stochastic Segmentation Networks Fabio De Sousa Ribeiro Omar Todd Charles Jones Avinash Kori Raghav Mehta Ben Glocker 53 0 0 24 Jul 2025
UNCLE: Uncertainty Expressions in Long-Form Generation Ruihan Yang Caiqi Zhang Zhisong Zhang Xinting Huang Dong Yu Nigel Collier Deqing Yang ELM 95 4 0 22 May 2025
Reasoning Models Better Express Their Confidence Dongkeun Yoon Seungone Kim Sohee Yang Sunkyoung Kim Soyeon Kim Yongil Kim Eunbi Choi Yireun Kim Minjoon Seo LRM 74 9 0 20 May 2025
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model Timo Kaiser Thomas Norrenbrock Bodo Rosenhahn 272 3 0 08 May 2025
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought Boxuan Zhang Ruqi Zhang LRM 118 4 0 24 Feb 2025
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 162 1 0 23 Apr 2024
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 379 476 0 17 Jun 2020