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Disentangling Length from Quality in Direct Preference Optimization

Disentangling Length from Quality in Direct Preference Optimization

28 March 2024
Ryan Park
Rafael Rafailov
Stefano Ermon
Chelsea Finn
    ALM
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Papers citing "Disentangling Length from Quality in Direct Preference Optimization"

28 / 28 papers shown
Title
Preference Optimization for Combinatorial Optimization Problems
Preference Optimization for Combinatorial Optimization Problems
Mingjun Pan
Guanquan Lin
You-Wei Luo
Bin Zhu
Zhien Dai
Lijun Sun
Chun Yuan
23
0
0
13 May 2025
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
Teng Xiao
Zhen Ge
Sujay Sanghavi
Tian Wang
Julian Katz-Samuels
Marc Versage
Qingjun Cui
Trishul Chilimbi
31
0
0
13 May 2025
Assessing Robustness to Spurious Correlations in Post-Training Language Models
Assessing Robustness to Spurious Correlations in Post-Training Language Models
Julia Shuieh
Prasann Singhal
Apaar Shanker
John Heyer
George Pu
Samuel Denton
LRM
29
0
0
09 May 2025
LookAlike: Consistent Distractor Generation in Math MCQs
LookAlike: Consistent Distractor Generation in Math MCQs
Nisarg Parikh
Nigel Fernandez
Alexander Scarlatos
Simon Woodhead
Andrew S. Lan
53
0
0
03 May 2025
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Ren-Wei Liang
Chin-Ting Hsu
Chan-Hung Yu
Saransh Agrawal
Shih-Cheng Huang
Shang-Tse Chen
Kuan-Hao Huang
Shao-Hua Sun
81
0
0
27 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Yixin Cao
Shibo Hong
Xuzhao Li
Jiahao Ying
Yubo Ma
...
Juanzi Li
Aixin Sun
Xuanjing Huang
Tat-Seng Chua
Tianwei Zhang
ALM
ELM
86
2
0
26 Apr 2025
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
H. A. Alyahya
Haidar Khan
Yazeed Alnumay
M Saiful Bari
B. Yener
LRM
65
1
0
10 Mar 2025
Mitigating Preference Hacking in Policy Optimization with Pessimism
Dhawal Gupta
Adam Fisch
Christoph Dann
Alekh Agarwal
76
0
0
10 Mar 2025
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
Longxu Dou
Qian Liu
Fan Zhou
Changyu Chen
Zili Wang
...
Tianyu Pang
Chao Du
Xinyi Wan
Wei Lu
Min Lin
106
1
0
18 Feb 2025
Design Considerations in Offline Preference-based RL
Design Considerations in Offline Preference-based RL
Alekh Agarwal
Christoph Dann
T. V. Marinov
OffRL
56
0
0
08 Feb 2025
Understanding the Logic of Direct Preference Alignment through Logic
Understanding the Logic of Direct Preference Alignment through Logic
Kyle Richardson
Vivek Srikumar
Ashish Sabharwal
85
2
0
23 Dec 2024
REFA: Reference Free Alignment for multi-preference optimization
REFA: Reference Free Alignment for multi-preference optimization
Taneesh Gupta
Rahul Madhavan
Xuchao Zhang
Chetan Bansal
Saravan Rajmohan
91
1
0
20 Dec 2024
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
Yogesh Kulkarni
Pooyan Fazli
VLM
103
2
0
01 Dec 2024
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
fff-PO: Generalizing Preference Optimization with fff-divergence Minimization
Jiaqi Han
Mingjian Jiang
Yuxuan Song
J. Leskovec
Stefano Ermon
56
3
0
29 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang
Zhihan Liu
Boyi Liu
Yuhang Zhang
Yingxiang Yang
Y. Liu
Liyu Chen
Tao Sun
Ziyi Wang
98
3
0
10 Oct 2024
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
Hanyang Zhao
Genta Indra Winata
Anirban Das
Shi-Xiong Zhang
D. Yao
Wenpin Tang
Sambit Sahu
54
5
0
05 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
Dinesh Manocha
Heng Huang
Tong Zhang
ALM
35
11
0
18 Sep 2024
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Yuxin Jiang
Bo Huang
Yufei Wang
Xingshan Zeng
Liangyou Li
Yasheng Wang
Xin Jiang
Lifeng Shang
Ruiming Tang
Wei Wang
44
5
0
14 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
58
72
0
28 Jul 2024
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
Wenkai Yang
Shiqi Shen
Guangyao Shen
Zhi Gong
Yankai Lin
Zhi Gong
Yankai Lin
Ji-Rong Wen
55
13
0
17 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
62
23
0
14 Jun 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
81
21
0
29 May 2024
Learn Your Reference Model for Real Good Alignment
Learn Your Reference Model for Real Good Alignment
Alexey Gorbatovski
Boris Shaposhnikov
Alexey Malakhov
Nikita Surnachev
Yaroslav Aksenov
Ian Maksimov
Nikita Balagansky
Daniil Gavrilov
OffRL
54
26
0
15 Apr 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
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
75
32
0
30 Dec 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
319
11,953
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
280
1,595
0
18 Sep 2019
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