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Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for
  LLM Alignment

Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment

30 September 2023
Tianhao Wu
Banghua Zhu
Ruoyu Zhang
Zhaojin Wen
Kannan Ramchandran
Jiantao Jiao
ArXivPDFHTML

Papers citing "Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment"

47 / 47 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
A Domain-Agnostic Scalable AI Safety Ensuring Framework
A Domain-Agnostic Scalable AI Safety Ensuring Framework
Beomjun Kim
Kangyeon Kim
Sunwoo Kim
Heejin Ahn
41
0
0
29 Apr 2025
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
J. Li
Jian-Yu Guan
Songhao Wu
Wei Yu Wu
Rui Yan
59
1
0
19 Mar 2025
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses
Angela Lopez-Cardona
Sebastian Idesis
Miguel Barreda-Ángeles
Sergi Abadal
Ioannis Arapakis
46
0
0
13 Mar 2025
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
Tiansheng Huang
Sihao Hu
Fatih Ilhan
Selim Furkan Tekin
Zachary Yahn
Yichang Xu
Ling Liu
51
8
0
01 Mar 2025
Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance
Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance
Chenghua Huang
Lu Wang
Fangkai Yang
Pu Zhao
Z. Li
Qingwei Lin
Dongmei Zhang
Saravan Rajmohan
Qi Zhang
OffRL
52
1
0
24 Feb 2025
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
Y. Wang
Tiansheng Huang
Li Shen
H. Yao
Haotian Luo
Rui Liu
Naiqiang Tan
Jiaxing Huang
Dacheng Tao
AAML
MoMe
CLL
109
1
0
30 Jan 2025
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Yannis Flet-Berliac
Nathan Grinsztajn
Florian Strub
Bill Wu
Eugene Choi
...
Arash Ahmadian
Yash Chandak
M. G. Azar
Olivier Pietquin
Matthieu Geist
OffRL
62
4
0
17 Jan 2025
A Statistical Framework for Ranking LLM-Based Chatbots
A Statistical Framework for Ranking LLM-Based Chatbots
Siavash Ameli
Siyuan Zhuang
Ion Stoica
Michael W. Mahoney
ELM
38
1
0
24 Dec 2024
$H^3$Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
H3H^3H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
Selim Furkan Tekin
Fatih Ilhan
Tiansheng Huang
Sihao Hu
Zachary Yahn
Ling Liu
MoMe
63
3
0
26 Nov 2024
TODO: Enhancing LLM Alignment with Ternary Preferences
TODO: Enhancing LLM Alignment with Ternary Preferences
Yuxiang Guo
Lu Yin
Bo Jiang
Jiaqi Zhang
33
1
0
02 Nov 2024
Generative Reward Models
Generative Reward Models
Dakota Mahan
Duy Phung
Rafael Rafailov
Chase Blagden
Nathan Lile
Louis Castricato
Jan-Philipp Fränken
Chelsea Finn
Alon Albalak
VLM
SyDa
OffRL
27
24
0
02 Oct 2024
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Angela Lopez-Cardona
Carlos Segura
Alexandros Karatzoglou
Sergi Abadal
Ioannis Arapakis
ALM
48
2
0
02 Oct 2024
Policy Filtration in RLHF to Fine-Tune LLM for Code Generation
Policy Filtration in RLHF to Fine-Tune LLM for Code Generation
Wei Shen
Chuheng Zhang
OffRL
28
6
0
11 Sep 2024
Antidote: Post-fine-tuning Safety Alignment for Large Language Models
  against Harmful Fine-tuning
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning
Tiansheng Huang
Gautam Bhattacharya
Pratik Joshi
Josh Kimball
Ling Liu
AAML
MoMe
47
16
0
18 Aug 2024
Meta-Rewarding Language Models: Self-Improving Alignment with
  LLM-as-a-Meta-Judge
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Tianhao Wu
Weizhe Yuan
O. Yu. Golovneva
Jing Xu
Yuandong Tian
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
ALM
KELM
LRM
44
71
0
28 Jul 2024
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Mengnan Du
Shuaiqiang Wang
Dawei Yin
Sumi Helal
43
28
0
28 Jun 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math
  Reasoning by Eight-Fold
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Rajagopal Setlur
Saurabh Garg
Xinyang Geng
Naman Garg
Virginia Smith
Aviral Kumar
35
45
0
20 Jun 2024
A Survey on Human Preference Learning for Large Language Models
A Survey on Human Preference Learning for Large Language Models
Ruili Jiang
Kehai Chen
Xuefeng Bai
Zhixuan He
Juntao Li
Muyun Yang
Tiejun Zhao
Liqiang Nie
Min Zhang
39
8
0
17 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
38
16
0
08 Jun 2024
Group Robust Preference Optimization in Reward-free RLHF
Group Robust Preference Optimization in Reward-free RLHF
Shyam Sundhar Ramesh
Yifan Hu
Iason Chaimalas
Viraj Mehta
Pier Giuseppe Sessa
Haitham Bou-Ammar
Ilija Bogunovic
16
13
0
30 May 2024
Lazy Safety Alignment for Large Language Models against Harmful
  Fine-tuning
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning
Tiansheng Huang
Sihao Hu
Fatih Ilhan
Selim Furkan Tekin
Ling Liu
40
23
0
28 May 2024
Triple Preference Optimization: Achieving Better Alignment with Less
  Data in a Single Step Optimization
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization
Amir Saeidi
Shivanshu Verma
Aswin Rrv
Chitta Baral
27
5
0
26 May 2024
Online Self-Preferring Language Models
Online Self-Preferring Language Models
Yuanzhao Zhai
Zhuo Zhang
Kele Xu
Hanyang Peng
Yue Yu
Dawei Feng
Cheng Yang
Bo Ding
Huaimin Wang
36
0
0
23 May 2024
Large Language Models for Education: A Survey
Large Language Models for Education: A Survey
Hanyi Xu
Wensheng Gan
Zhenlian Qi
Jiayang Wu
Philip S. Yu
AI4Ed
ELM
51
13
0
12 May 2024
Value Augmented Sampling for Language Model Alignment and
  Personalization
Value Augmented Sampling for Language Model Alignment and Personalization
Seungwook Han
Idan Shenfeld
Akash Srivastava
Yoon Kim
Pulkit Agrawal
OffRL
26
23
0
10 May 2024
Active Preference Learning for Ordering Items In- and Out-of-sample
Active Preference Learning for Ordering Items In- and Out-of-sample
Herman Bergström
Emil Carlsson
Devdatt Dubhashi
Fredrik D. Johansson
22
0
0
05 May 2024
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Amir Saeidi
Shivanshu Verma
Chitta Baral
Chitta Baral
ALM
30
21
0
23 Apr 2024
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from
  Human Feedback for LLMs
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari
Pranjal Aggarwal
Vishvak Murahari
Tanmay Rajpurohit
A. Kalyan
Karthik Narasimhan
A. Deshpande
Bruno Castro da Silva
21
33
0
12 Apr 2024
Dataset Reset Policy Optimization for RLHF
Dataset Reset Policy Optimization for RLHF
Jonathan D. Chang
Wenhao Zhan
Owen Oertell
Kianté Brantley
Dipendra Kumar Misra
Jason D. Lee
Wen Sun
OffRL
19
21
0
12 Apr 2024
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human
  Feedback
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Zhenyu Hou
Yiin Niu
Zhengxiao Du
Xiaohan Zhang
Xiao Liu
...
Qinkai Zheng
Minlie Huang
Hongning Wang
Jie Tang
Yuxiao Dong
ALM
20
17
0
01 Apr 2024
Improving Reinforcement Learning from Human Feedback Using Contrastive
  Rewards
Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards
Wei Shen
Xiaoying Zhang
Yuanshun Yao
Rui Zheng
Hongyi Guo
Yang Liu
ALM
25
11
0
12 Mar 2024
ORPO: Monolithic Preference Optimization without Reference Model
ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong
Noah Lee
James Thorne
OSLM
27
54
0
12 Mar 2024
COPR: Continual Human Preference Learning via Optimal Policy
  Regularization
COPR: Continual Human Preference Learning via Optimal Policy Regularization
Han Zhang
Lin Gui
Yu Lei
Yuanzhao Zhai
Yehong Zhang
...
Hui Wang
Yue Yu
Kam-Fai Wong
Bin Liang
Ruifeng Xu
CLL
29
4
0
22 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model
Vaccine: Perturbation-aware Alignment for Large Language Model
Tiansheng Huang
Sihao Hu
Ling Liu
42
32
0
02 Feb 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and
  Overoptimization in RLHF
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF
Banghua Zhu
Michael I. Jordan
Jiantao Jiao
21
22
0
29 Jan 2024
Uncertainty-Penalized Reinforcement Learning from Human Feedback with
  Diverse Reward LoRA Ensembles
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles
Yuanzhao Zhai
Han Zhang
Yu Lei
Yue Yu
Kele Xu
Dawei Feng
Bo Ding
Huaimin Wang
AI4CE
58
31
0
30 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
59
5
0
13 Dec 2023
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from
  Human Feedback
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback
Nathan Lambert
Roberto Calandra
ALM
13
30
0
31 Oct 2023
The Expressibility of Polynomial based Attention Scheme
The Expressibility of Polynomial based Attention Scheme
Zhao-quan Song
Guangyi Xu
Junze Yin
24
5
0
30 Oct 2023
COPR: Continual Learning Human Preference through Optimal Policy
  Regularization
COPR: Continual Learning Human Preference through Optimal Policy Regularization
Han Zhang
Lin Gui
Yuanzhao Zhai
Hui Wang
Yu Lei
Ruifeng Xu
CLL
27
0
0
24 Oct 2023
Leftover Lunch: Advantage-based Offline Reinforcement Learning for
  Language Models
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti
Ximing Lu
Faeze Brahman
Ronan Le Bras
Maarten Sap
Mark O. Riedl
20
9
0
24 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
218
441
0
23 Aug 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
121
101
0
05 Jun 2022
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
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
1