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Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

29 May 2023
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
    ALM
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Papers citing "Direct Preference Optimization: Your Language Model is Secretly a Reward Model"

41 / 641 papers shown
Title
Institutional Platform for Secure Self-Service Large Language Model Exploration
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
44
1
0
01 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
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for
  Hallucination Mitigation
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
Yuxin Liang
Zhuoyang Song
Hao Wang
Jiaxing Zhang
HILM
31
28
0
27 Jan 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
230
294
0
18 Jan 2024
Aligning Large Language Models with Counterfactual DPO
Aligning Large Language Models with Counterfactual DPO
Bradley Butcher
ALM
21
1
0
17 Jan 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
Canvil: Designerly Adaptation for LLM-Powered User Experiences
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
26
16
0
17 Jan 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
David Chhan
Ellen R. Novoseller
Vernon J. Lawhern
27
5
0
17 Jan 2024
TOFU: A Task of Fictitious Unlearning for LLMs
TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini
Zhili Feng
Avi Schwarzschild
Zachary Chase Lipton
J. Zico Kolter
MU
CLL
38
141
0
11 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
28
94
0
08 Jan 2024
Theoretical guarantees on the best-of-n alignment policy
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami
Alekh Agarwal
Jonathan Berant
Alex DÁmour
Jacob Eisenstein
Chirag Nagpal
A. Suresh
42
42
0
03 Jan 2024
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
62
5
0
13 Dec 2023
LLM360: Towards Fully Transparent Open-Source LLMs
LLM360: Towards Fully Transparent Open-Source LLMs
Zhengzhong Liu
Aurick Qiao
W. Neiswanger
Hongyi Wang
Bowen Tan
...
Zhiting Hu
Mark Schulze
Preslav Nakov
Timothy Baldwin
Eric P. Xing
38
68
0
11 Dec 2023
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware
  Direct Preference Optimization
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
Zhiyuan Zhao
Bin Wang
Linke Ouyang
Xiao-wen Dong
Jiaqi Wang
Conghui He
MLLM
VLM
29
105
0
28 Nov 2023
A density estimation perspective on learning from pairwise human
  preferences
A density estimation perspective on learning from pairwise human preferences
Vincent Dumoulin
Daniel D. Johnson
Pablo Samuel Castro
Hugo Larochelle
Yann Dauphin
23
12
0
23 Nov 2023
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Tian Huang
Ke Li
Ke Li
18
1
0
23 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward
  Model
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang
Jian Tao
Jiafei Lyu
Chunjiang Ge
Jiaxin Chen
Qimai Li
Weihan Shen
Xiaolong Zhu
Xiu Li
EGVM
16
87
0
22 Nov 2023
Ever: Mitigating Hallucination in Large Language Models through
  Real-Time Verification and Rectification
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Haoqiang Kang
Juntong Ni
Huaxiu Yao
HILM
LRM
14
33
0
15 Nov 2023
Defending Large Language Models Against Jailbreaking Attacks Through
  Goal Prioritization
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Zhexin Zhang
Junxiao Yang
Pei Ke
Fei Mi
Hongning Wang
Minlie Huang
AAML
16
113
0
15 Nov 2023
Routing to the Expert: Efficient Reward-guided Ensemble of Large
  Language Models
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Keming Lu
Hongyi Yuan
Runji Lin
Junyang Lin
Zheng Yuan
Chang Zhou
Jingren Zhou
MoE
LRM
32
52
0
15 Nov 2023
An Emulator for Fine-Tuning Large Language Models using Small Language
  Models
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Eric Mitchell
Rafael Rafailov
Archit Sharma
Chelsea Finn
Christopher D. Manning
ALM
27
51
0
19 Oct 2023
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large
  Language Model
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model
Qichen Ye
Junling Liu
Dading Chong
Peilin Zhou
Yining Hua
...
Meng Cao
Ziming Wang
Xuxin Cheng
Andrew Liu
Zhenhua Guo
AI4MH
LM&MA
ELM
25
19
0
13 Oct 2023
Constructive Large Language Models Alignment with Diverse Feedback
Constructive Large Language Models Alignment with Diverse Feedback
Tianshu Yu
Ting-En Lin
Yuchuan Wu
Min Yang
Fei Huang
Yongbin Li
ALM
30
8
0
10 Oct 2023
Reinforcement Learning in the Era of LLMs: What is Essential? What is
  needed? An RL Perspective on RLHF, Prompting, and Beyond
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Hao Sun
OffRL
18
20
0
09 Oct 2023
Improving Summarization with Human Edits
Improving Summarization with Human Edits
Zonghai Yao
Benjamin J Schloss
Sai P. Selvaraj
24
2
0
09 Oct 2023
Beyond Reverse KL: Generalizing Direct Preference Optimization with
  Diverse Divergence Constraints
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang
Yibo Jiang
Yuguang Yang
Han Liu
Yuxin Chen
19
81
0
28 Sep 2023
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Avamarie Brueggeman
Andrea Madotto
Zhaojiang Lin
Tushar Nagarajan
Matt Smith
...
Peyman Heidari
Yue Liu
Kavya Srinet
Babak Damavandi
Anuj Kumar
MLLM
24
92
0
27 Sep 2023
Don't throw away your value model! Generating more preferable text with
  Value-Guided Monte-Carlo Tree Search decoding
Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
Jiacheng Liu
Andrew Cohen
Ramakanth Pasunuru
Yejin Choi
Hannaneh Hajishirzi
Asli Celikyilmaz
6
22
0
26 Sep 2023
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Guan-Bo Wang
Sijie Cheng
Xianyuan Zhan
Xiangang Li
Sen Song
Yang Liu
ALM
8
227
0
20 Sep 2023
Baichuan 2: Open Large-scale Language Models
Baichuan 2: Open Large-scale Language Models
Ai Ming Yang
Bin Xiao
Bingning Wang
Borong Zhang
Ce Bian
...
Youxin Jiang
Yuchen Gao
Yupeng Zhang
Zenan Zhou
Zhiying Wu
ELM
LRM
49
699
0
19 Sep 2023
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller
Ansar Aynetdinov
A. Akbik
20
24
0
07 Sep 2023
FLM-101B: An Open LLM and How to Train It with $100K Budget
FLM-101B: An Open LLM and How to Train It with 100KBudget100K Budget100KBudget
Xiang Li
Yiqun Yao
Xin Jiang
Xuezhi Fang
Xuying Meng
...
LI DU
Bowen Qin
Zheng-Wei Zhang
Aixin Sun
Yequan Wang
52
21
0
07 Sep 2023
How to Protect Copyright Data in Optimization of Large Language Models?
How to Protect Copyright Data in Optimization of Large Language Models?
T. Chu
Zhao-quan Song
Chiwun Yang
28
29
0
23 Aug 2023
Instruction Position Matters in Sequence Generation with Large Language
  Models
Instruction Position Matters in Sequence Generation with Large Language Models
Yanjun Liu
Xianfeng Zeng
Fandong Meng
Jie Zhou
LRM
35
8
0
23 Aug 2023
Scaling Sentence Embeddings with Large Language Models
Scaling Sentence Embeddings with Large Language Models
Ting Jiang
Shaohan Huang
Zhongzhi Luan
Deqing Wang
Fuzhen Zhuang
LRM
34
40
0
31 Jul 2023
RLCD: Reinforcement Learning from Contrastive Distillation for Language
  Model Alignment
RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment
Kevin Kaichuang Yang
Dan Klein
Asli Celikyilmaz
Nanyun Peng
Yuandong Tian
ALM
25
31
0
24 Jul 2023
Let Me Teach You: Pedagogical Foundations of Feedback for Language
  Models
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges
Niket Tandon
Tanja Kaser
Antoine Bosselut
17
3
0
01 Jul 2023
On the Creativity of Large Language Models
On the Creativity of Large Language Models
Giorgio Franceschelli
Mirco Musolesi
61
49
0
27 Mar 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
212
2,232
0
22 Mar 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
11,730
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 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
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