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Uncertainty Aware Learning for Language Model Alignment

Uncertainty Aware Learning for Language Model Alignment

7 June 2024
Yikun Wang
Rui Zheng
Liang Ding
Qi Zhang
Dahua Lin
Dacheng Tao
ArXivPDFHTML

Papers citing "Uncertainty Aware Learning for Language Model Alignment"

5 / 5 papers shown
Title
Let Me Teach You: Pedagogical Foundations of Feedback for Language
  Models
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges
Niket Tandon
Tanja Kaser
Antoine Bosselut
17
3
0
01 Jul 2023
Towards Making the Most of ChatGPT for Machine Translation
Towards Making the Most of ChatGPT for Machine Translation
Keqin Peng
Liang Ding
Qihuang Zhong
Li Shen
Xuebo Liu
Min Zhang
Y. Ouyang
Dacheng Tao
LRM
83
203
0
24 Mar 2023
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
203
501
0
15 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1