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Uncertainty Estimation for Language Reward Models

Uncertainty Estimation for Language Reward Models

14 March 2022
Adam Gleave
G. Irving
    UQLM
ArXivPDFHTML

Papers citing "Uncertainty Estimation for Language Reward Models"

7 / 7 papers shown
Title
Routing to the Expert: Efficient Reward-guided Ensemble of Large
  Language Models
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Keming Lu
Hongyi Yuan
Runji Lin
Junyang Lin
Zheng Yuan
Chang Zhou
Jingren Zhou
MoE
LRM
40
52
0
15 Nov 2023
To Softmax, or not to Softmax: that is the question when applying Active
  Learning for Transformer Models
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior
C. Falkenberg
Silvio Magino
Anja Reusch
Maik Thiele
Wolfgang Lehner
UQCV
36
7
0
06 Oct 2022
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,583
0
18 Sep 2019
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
5,652
0
05 Dec 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,508
0
10 Jun 2015
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
9,109
0
06 Jun 2015
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