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Offline Regularised Reinforcement Learning for Large Language Models
  Alignment

Offline Regularised Reinforcement Learning for Large Language Models Alignment

29 May 2024
Pierre Harvey Richemond
Yunhao Tang
Daniel Guo
Daniele Calandriello
M. G. Azar
Rafael Rafailov
Bernardo Avila-Pires
Eugene Tarassov
Lucas Spangher
Will Ellsworth
Aliaksei Severyn
Jonathan Mallinson
Lior Shani
Gil Shamir
Rishabh Joshi
Tianqi Liu
Rémi Munos
Bilal Piot
    OffRL
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Papers citing "Offline Regularised Reinforcement Learning for Large Language Models Alignment"

27 / 27 papers shown
Title
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong
Jian-Yu Guan
Wei Yu Wu
Huishuai Zhang
Dongyan Zhao
53
1
0
08 May 2025
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
Jialun Zhong
Wei Shen
Yanzeng Li
Songyang Gao
Hua Lu
Yicheng Chen
Yang Zhang
Wei Zhou
Jinjie Gu
Lei Zou
LRM
38
1
0
12 Apr 2025
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Taiwei Shi
Yiyang Wu
Linxin Song
Tianyi Zhou
Jieyu Zhao
LRM
76
1
0
07 Apr 2025
MultiClear: Multimodal Soft Exoskeleton Glove for Transparent Object Grasping Assistance
MultiClear: Multimodal Soft Exoskeleton Glove for Transparent Object Grasping Assistance
Chen Hu
Timothy Neate
Shan Luo
Letizia Gionfrida
33
2
0
04 Apr 2025
RL-finetuning LLMs from on- and off-policy data with a single algorithm
RL-finetuning LLMs from on- and off-policy data with a single algorithm
Yunhao Tang
Taco Cohen
David W. Zhang
Michal Valko
Rémi Munos
OffRL
42
1
0
25 Mar 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
56
1
0
19 Mar 2025
Soft Policy Optimization: Online Off-Policy RL for Sequence Models
Taco Cohen
David W. Zhang
Kunhao Zheng
Yunhao Tang
Rémi Munos
Gabriel Synnaeve
OffRL
78
0
0
07 Mar 2025
Reinforcement Learning Enhanced LLMs: A Survey
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang
Shengyu Zhang
J. Zhang
Runyi Hu
Xiaoya Li
Tianwei Zhang
Jiwei Li
Fei Wu
G. Wang
Eduard H. Hovy
OffRL
114
6
0
05 Dec 2024
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General
  Preferences
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
Y. Liu
Argyris Oikonomou
Weiqiang Zheng
Yang Cai
Arman Cohan
29
1
0
30 Oct 2024
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function
Zhichao Wang
Bin Bi
Z. Zhu
Xiangbo Mao
Jun Wang
Shiyu Wang
CLL
18
1
0
28 Oct 2024
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Guanlin Liu
Kaixuan Ji
Ning Dai
Zheng Wu
Chen Dun
Q. Gu
Lin Yan
Quanquan Gu
Lin Yan
OffRL
LRM
44
8
0
11 Oct 2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao
Wenhao Zhan
Jonathan D. Chang
Gokul Swamy
Kianté Brantley
Jason D. Lee
Wen Sun
OffRL
50
3
0
06 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
47
11
0
20 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Zeke Xie
37
11
0
11 Sep 2024
Anchored Preference Optimization and Contrastive Revisions: Addressing
  Underspecification in Alignment
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
Karel DÓosterlinck
Winnie Xu
Chris Develder
Thomas Demeester
A. Singh
Christopher Potts
Douwe Kiela
Shikib Mehri
24
10
0
12 Aug 2024
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO,
  DPO and More
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More
Zhichao Wang
Bin Bi
Shiva K. Pentyala
Kiran Ramnath
Sougata Chaudhuri
...
Z. Zhu
Xiang-Bo Mao
S. Asur
Na
Na Cheng
OffRL
28
38
0
23 Jul 2024
Direct Nash Optimization: Teaching Language Models to Self-Improve with
  General Preferences
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Corby Rosset
Ching-An Cheng
Arindam Mitra
Michael Santacroce
Ahmed Hassan Awadallah
Tengyang Xie
144
113
0
04 Apr 2024
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Hritik Bansal
Ashima Suvarna
Gantavya Bhatt
Nanyun Peng
Kai-Wei Chang
Aditya Grover
ALM
53
9
0
31 Mar 2024
KTO: Model Alignment as Prospect Theoretic Optimization
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
153
437
0
02 Feb 2024
Towards Efficient Exact Optimization of Language Model Alignment
Towards Efficient Exact Optimization of Language Model Alignment
Haozhe Ji
Cheng Lu
Yilin Niu
Pei Ke
Hongning Wang
Jun Zhu
Jie Tang
Minlie Huang
50
11
0
01 Feb 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
92
92
0
22 Jan 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk
Ishita Mediratta
Christoforos Nalmpantis
Jelena Luketina
Eric Hambro
Edward Grefenstette
Roberta Raileanu
AI4CE
ALM
95
121
0
10 Oct 2023
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
33
10
0
28 Aug 2023
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
225
495
0
28 Sep 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
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 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
273
1,561
0
18 Sep 2019
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