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Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science
15 November 2023
S. Wagle
Sai Munikoti
Anurag Acharya
Sara Smith
Sameera Horawalavithana
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Papers citing
"Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science"
3 / 3 papers shown
Title
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
W. Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
173
86
0
10 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
1