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ODIN: Disentangled Reward Mitigates Hacking in RLHF

ODIN: Disentangled Reward Mitigates Hacking in RLHF

11 February 2024
Lichang Chen
Chen Zhu
Davit Soselia
Jiuhai Chen
Tianyi Zhou
Tom Goldstein
Heng-Chiao Huang
M. Shoeybi
Bryan Catanzaro
    AAML
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Papers citing "ODIN: Disentangled Reward Mitigates Hacking in RLHF"

17 / 17 papers shown
Title
On the Robustness of Reward Models for Language Model Alignment
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong
Noah Lee
Eunki Kim
Guijin Son
Woojin Chung
Aman Gupta
Shao Tang
James Thorne
29
0
0
12 May 2025
Energy-Based Reward Models for Robust Language Model Alignment
Energy-Based Reward Models for Robust Language Model Alignment
Anamika Lochab
Ruqi Zhang
135
0
0
17 Apr 2025
Adversarial Training of Reward Models
Adversarial Training of Reward Models
Alexander Bukharin
Haifeng Qian
Shengyang Sun
Adithya Renduchintala
Soumye Singhal
Zhongqi Wang
Oleksii Kuchaiev
Olivier Delalleau
T. Zhao
AAML
32
0
0
08 Apr 2025
Information-Theoretic Reward Decomposition for Generalizable RLHF
Information-Theoretic Reward Decomposition for Generalizable RLHF
Liyuan Mao
Haoran Xu
Amy Zhang
Weinan Zhang
Chenjia Bai
33
0
0
08 Apr 2025
Probabilistic Uncertain Reward Model
Probabilistic Uncertain Reward Model
Wangtao Sun
Xiang Cheng
Xing Yu
Haotian Xu
Zhao Yang
Shizhu He
Jun Zhao
Kang Liu
58
0
0
28 Mar 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
Yuchun Miao
Sen Zhang
Liang Ding
Yuqi Zhang
L. Zhang
Dacheng Tao
81
3
0
31 Jan 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Chaoqi Wang
Zhuokai Zhao
Yibo Jiang
Zhaorun Chen
Chen Zhu
...
Jiayi Liu
Lizhu Zhang
Xiangjun Fan
Hao Ma
Sinong Wang
77
3
0
17 Jan 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
Self-Generated Critiques Boost Reward Modeling for Language Models
Yue Yu
Zhengxing Chen
Aston Zhang
L Tan
Chenguang Zhu
...
Suchin Gururangan
Chao-Yue Zhang
Melanie Kambadur
Dhruv Mahajan
Rui Hou
LRM
ALM
94
16
0
25 Nov 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
45
22
0
01 Oct 2024
RRM: Robust Reward Model Training Mitigates Reward Hacking
RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu
Wei Xiong
Jie Jessie Ren
Lichang Chen
Junru Wu
...
Yuan Liu
Bilal Piot
Abe Ittycheriah
Aviral Kumar
Mohammad Saleh
AAML
56
13
0
20 Sep 2024
From Lists to Emojis: How Format Bias Affects Model Alignment
From Lists to Emojis: How Format Bias Affects Model Alignment
Xuanchang Zhang
Wei Xiong
Lichang Chen
Tianyi Zhou
Heng Huang
Tong Zhang
ALM
35
11
0
18 Sep 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
30
2
0
24 Jun 2024
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Yann Dubois
Balázs Galambosi
Percy Liang
Tatsunori Hashimoto
ALM
55
321
0
06 Apr 2024
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
111
93
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
313
11,953
0
04 Mar 2022
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
186
273
0
28 Sep 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
280
1,595
0
18 Sep 2019
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