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Generalizing Reward Modeling for Out-of-Distribution Preference Learning

Generalizing Reward Modeling for Out-of-Distribution Preference Learning

22 February 2024
Chen Jia
ArXivPDFHTML

Papers citing "Generalizing Reward Modeling for Out-of-Distribution Preference Learning"

7 / 7 papers shown
Title
A Survey on Progress in LLM Alignment from the Perspective of Reward Design
A Survey on Progress in LLM Alignment from the Perspective of Reward Design
Miaomiao Ji
Yanqiu Wu
Zhibin Wu
Shoujin Wang
Jian Yang
Mark Dras
Usman Naseem
31
0
0
05 May 2025
WARM: On the Benefits of Weight Averaged Reward Models
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé
Nino Vieillard
Léonard Hussenot
Robert Dadashi
Geoffrey Cideron
Olivier Bachem
Johan Ferret
95
92
0
22 Jan 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Understanding Dataset Difficulty with V\mathcal{V}V-Usable Information
Kawin Ethayarajh
Yejin Choi
Swabha Swayamdipta
154
157
0
16 Oct 2021
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
1,561
0
18 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
96
714
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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