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MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with
  Diverse Human Preferences

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences

14 February 2024
Souradip Chakraborty
Jiahao Qiu
Hui Yuan
Alec Koppel
Furong Huang
Dinesh Manocha
Amrit Singh Bedi
Mengdi Wang
    ALM
ArXivPDFHTML

Papers citing "MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences"

11 / 11 papers shown
Title
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
28
0
0
04 May 2025
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
Kefan Song
Jin Yao
Runnan Jiang
Rohan Chandra
Shangtong Zhang
ALM
46
0
0
10 Mar 2025
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Rashid Mushkani
Shravan Nayak
Hugo Berard
Allison Cohen
Shin Koseki
Hadrien Bertrand
54
2
0
27 Feb 2025
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Jianfei Zhang
Jun Bai
B. Li
Yanmeng Wang
Rumei Li
Chenghua Lin
Wenge Rong
41
0
0
31 Dec 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
Yekun Chai
Haoran Sun
Huang Fang
Shuohuan Wang
Yu Sun
Hua-Hong Wu
79
1
0
03 Oct 2024
SAIL: Self-Improving Efficient Online Alignment of Large Language Models
SAIL: Self-Improving Efficient Online Alignment of Large Language Models
Mucong Ding
Souradip Chakraborty
Vibhu Agrawal
Zora Che
Alec Koppel
Mengdi Wang
Amrit Singh Bedi
Furong Huang
31
9
0
21 Jun 2024
Social Choice Should Guide AI Alignment in Dealing with Diverse Human
  Feedback
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer
Rachel Freedman
J. Heitzig
Wesley H. Holliday
Bob M. Jacobs
...
Eric Pacuit
Stuart Russell
Hailey Schoelkopf
Emanuel Tewolde
W. Zwicker
31
28
0
16 Apr 2024
Instruction Tuning with GPT-4
Instruction Tuning with GPT-4
Baolin Peng
Chunyuan Li
Pengcheng He
Michel Galley
Jianfeng Gao
SyDa
ALM
LM&MA
157
579
0
06 Apr 2023
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
303
11,881
0
04 Mar 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy
  Gradient Method
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang
Chengzhuo Ni
Zheng Yu
Csaba Szepesvári
Mengdi Wang
44
66
0
17 Feb 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
1,583
0
18 Sep 2019
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