ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.14367
  4. Cited By
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy
  Data

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data

22 April 2024
Fahim Tajwar
Anika Singh
Archit Sharma
Rafael Rafailov
Jeff Schneider
Tengyang Xie
Stefano Ermon
Chelsea Finn
Aviral Kumar
ArXivPDFHTML

Papers citing "Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data"

33 / 33 papers shown
Title
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via ααα-βββ-Divergence
Guanghui Wang
Zhiyong Yang
Z. Wang
Shi Wang
Qianqian Xu
Q. Huang
37
0
0
07 May 2025
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
Tianjian Li
Daniel Khashabi
50
0
0
05 May 2025
Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models
Kareem Ahmed
Catarina G Belém
Padhraic Smyth
Sameer Singh
35
0
0
04 May 2025
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
Nicolas Le Roux
Marc G. Bellemare
Jonathan Lebensold
Arnaud Bergeron
Joshua Greaves
Alex Fréchette
Carolyne Pelletier
Eric Thibodeau-Laufer
Sándor Toth
Sam Work
OffRL
89
2
0
18 Mar 2025
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
Teng Xiao
Yige Yuan
Z. Chen
Mingxiao Li
Shangsong Liang
Z. Ren
V. Honavar
93
5
0
21 Feb 2025
The Best Instruction-Tuning Data are Those That Fit
The Best Instruction-Tuning Data are Those That Fit
Dylan Zhang
Qirun Dai
Hao Peng
ALM
113
3
0
06 Feb 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
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Heyang Zhao
Chenlu Ye
Quanquan Gu
Tong Zhang
OffRL
54
3
0
07 Nov 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Michael Noukhovitch
Shengyi Huang
Sophie Xhonneux
Arian Hosseini
Rishabh Agarwal
Aaron C. Courville
OffRL
77
4
0
23 Oct 2024
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
Mingzhi Wang
Chengdong Ma
Qizhi Chen
Linjian Meng
Yang Han
Jiancong Xiao
Zhaowei Zhang
Jing Huo
Weijie Su
Yaodong Yang
30
4
0
22 Oct 2024
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Noam Razin
Sadhika Malladi
Adithya Bhaskar
Danqi Chen
Sanjeev Arora
Boris Hanin
89
12
0
11 Oct 2024
Latent Feature Mining for Predictive Model Enhancement with Large
  Language Models
Latent Feature Mining for Predictive Model Enhancement with Large Language Models
Bingxuan Li
Pengyi Shi
Amy Ward
54
9
0
06 Oct 2024
The Crucial Role of Samplers in Online Direct Preference Optimization
The Crucial Role of Samplers in Online Direct Preference Optimization
Ruizhe Shi
Runlong Zhou
Simon S. Du
53
7
0
29 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
33
10
0
18 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
Progress or Regress? Self-Improvement Reversal in Post-training
Progress or Regress? Self-Improvement Reversal in Post-training
Ting Wu
Xuefeng Li
Pengfei Liu
LRM
18
9
0
06 Jul 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
47
13
0
24 Jun 2024
Bootstrapping Language Models with DPO Implicit Rewards
Bootstrapping Language Models with DPO Implicit Rewards
Changyu Chen
Zichen Liu
Chao Du
Tianyu Pang
Qian Liu
Arunesh Sinha
Pradeep Varakantham
Min-Bin Lin
SyDa
ALM
60
22
0
14 Jun 2024
Margin-aware Preference Optimization for Aligning Diffusion Models
  without Reference
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong
Sayak Paul
Noah Lee
Kashif Rasul
James Thorne
Jongheon Jeong
31
13
0
10 Jun 2024
UltraMedical: Building Specialized Generalists in Biomedicine
UltraMedical: Building Specialized Generalists in Biomedicine
Kaiyan Zhang
Sihang Zeng
Ermo Hua
Ning Ding
Zhang-Ren Chen
...
Xuekai Zhu
Xingtai Lv
Hu Jinfang
Zhiyuan Liu
Bowen Zhou
LM&MA
39
19
0
06 Jun 2024
Self-Improving Robust Preference Optimization
Self-Improving Robust Preference Optimization
Eugene Choi
Arash Ahmadian
Matthieu Geist
Oilvier Pietquin
M. G. Azar
23
8
0
03 Jun 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable
  Iterative Finetuning of Large Language Models
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
Chen Zhang
Chengguang Tang
Dading Chong
Ke Shi
Guohua Tang
Feng Jiang
Haizhou Li
27
4
0
30 May 2024
Robust Preference Optimization through Reward Model Distillation
Robust Preference Optimization through Reward Model Distillation
Adam Fisch
Jacob Eisenstein
Vicky Zayats
Alekh Agarwal
Ahmad Beirami
Chirag Nagpal
Peter Shaw
Jonathan Berant
70
20
0
29 May 2024
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single
  Process
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
Ermo Hua
Biqing Qi
Kaiyan Zhang
Yue Yu
Ning Ding
Xingtai Lv
Kai Tian
Bowen Zhou
32
3
0
20 May 2024
Understanding the performance gap between online and offline alignment
  algorithms
Understanding the performance gap between online and offline alignment algorithms
Yunhao Tang
Daniel Guo
Zeyu Zheng
Daniele Calandriello
Yuan Cao
...
Rémi Munos
Bernardo Avila-Pires
Michal Valko
Yong Cheng
Will Dabney
OffRL
OnRL
19
61
0
14 May 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Jingyu Zhang
Marc Marone
Tianjian Li
Benjamin Van Durme
Daniel Khashabi
79
9
0
05 Apr 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
Self-Rewarding Language Models
Self-Rewarding Language Models
Weizhe Yuan
Richard Yuanzhe Pang
Kyunghyun Cho
Xian Li
Sainbayar Sukhbaatar
Jing Xu
Jason Weston
ReLM
SyDa
ALM
LRM
224
291
0
18 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy
Christoph Dann
Rahul Kidambi
Zhiwei Steven Wu
Alekh Agarwal
OffRL
20
94
0
08 Jan 2024
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO
  and Toxicity
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Andrew Lee
Xiaoyan Bai
Itamar Pres
Martin Wattenberg
Jonathan K. Kummerfeld
Rada Mihalcea
64
95
0
03 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
97
121
0
10 Oct 2023
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
197
412
0
16 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
1,561
0
18 Sep 2019
1