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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
ArXivPDFHTML

Papers citing "Direct Preference Optimization: Your Language Model is Secretly a Reward Model"

50 / 2,645 papers shown
Title
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
Kangyu Zhu
Peng Xia
Yun Li
Hongtu Zhu
Sheng Wang
Huaxiu Yao
111
1
0
09 Dec 2024
Reinforcement Learning Enhanced LLMs: A Survey
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang
Shengyu Zhang
Jing Zhang
Runyi Hu
Xiaoya Li
Tianwei Zhang
Jiwei Li
Fei Wu
G. Wang
Eduard H. Hovy
OffRL
138
7
0
05 Dec 2024
Progress-Aware Video Frame Captioning
Progress-Aware Video Frame Captioning
Zihui Xue
Joungbin An
Xitong Yang
Kristen Grauman
129
1
0
03 Dec 2024
Time-Reversal Provides Unsupervised Feedback to LLMs
Time-Reversal Provides Unsupervised Feedback to LLMs
Yerram Varun
Rahul Madhavan
Sravanti Addepalli
A. Suggala
Karthikeyan Shanmugam
Prateek Jain
LRM
SyDa
79
0
0
03 Dec 2024
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
Meng Cao
Haoran Tang
Haoze Zhao
Hangyu Guo
Jing Liu
Ge Zhang
Ruyang Liu
Qiang Sun
Ian Reid
Xiaodan Liang
117
2
0
02 Dec 2024
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in
  Cell Therapy
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy
Katarzyna Janocha
Annabel Ling
Alice Godson
Yulia Lampi
Simon Bornschein
Nils Y. Hammerla
87
2
0
02 Dec 2024
Yi-Lightning Technical Report
Yi-Lightning Technical Report
01. AI
:
Alan Wake
Albert Wang
Bei Chen
...
Yuxuan Sha
Zhaodong Yan
Zhiyuan Liu
Zirui Zhang
Zonghong Dai
OSLM
104
3
0
02 Dec 2024
Towards Adaptive Mechanism Activation in Language Agent
Towards Adaptive Mechanism Activation in Language Agent
Ziyang Huang
Jun Zhao
Kang Liu
LLMAG
AI4CE
90
0
0
01 Dec 2024
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific
  Instruction Tuning
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Yang Wu
Huayi Zhang
Yizheng Jiao
Lin Ma
Xiaozhong Liu
Jinhong Yu
Dongyu Zhang
Dezhi Yu
Wei Xu
100
1
0
01 Dec 2024
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
Xin Xie
Dong Gong
95
1
0
01 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
126
2
0
01 Dec 2024
o1-Coder: an o1 Replication for Coding
Yuxiang Zhang
Shangxi Wu
Yuqi Yang
Jiangming Shu
Jinlin Xiao
Chao Kong
Jitao Sang
LRM
71
35
0
29 Nov 2024
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models
Yanxi Chen
Xuchen Pan
Yaliang Li
Bolin Ding
Jingren Zhou
LRM
99
7
0
29 Nov 2024
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers
Chancharik Mitra
Brandon Huang
Tianning Chai
Zhiqiu Lin
Assaf Arbelle
Rogerio Feris
Leonid Karlinsky
Trevor Darrell
Deva Ramanan
Roei Herzig
VLM
151
4
0
28 Nov 2024
How far can bias go? -- Tracing bias from pretraining data to alignment
How far can bias go? -- Tracing bias from pretraining data to alignment
Marion Thaler
Abdullatif Köksal
Alina Leidinger
Anna Korhonen
Hinrich Schutze
100
0
0
28 Nov 2024
Mars-PO: Multi-Agent Reasoning System Preference Optimization
Mars-PO: Multi-Agent Reasoning System Preference Optimization
Xiaoxuan Lou
Chaojie Wang
Bo An
LLMAG
LRM
76
0
0
28 Nov 2024
Challenges in Human-Agent Communication
Challenges in Human-Agent Communication
Gagan Bansal
J. W. Vaughan
Saleema Amershi
Eric Horvitz
Adam Fourney
Hussein Mozannar
Victor C. Dibia
Daniel S. Weld
LLMAG
AAML
AI4CE
96
5
0
28 Nov 2024
MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications
MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications
Vishnou Vinayagame
Gregory Senay
Luis Martí
LRM
ReLM
80
0
0
28 Nov 2024
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Di Zhang
Jingdi Lei
Junxian Li
Xunzhi Wang
Yong Liu
...
Steve Yang
Jianbo Wu
Peng Ye
Wanli Ouyang
Dongzhan Zhou
OffRL
LRM
107
6
0
27 Nov 2024
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient
  Fine-Tuning
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
Zhen Sun
Tianshuo Cong
Yule Liu
Chenhao Lin
Xinlei He
Rongmao Chen
Xingshuo Han
Xinyi Huang
AAML
98
4
0
26 Nov 2024
A Topic-level Self-Correctional Approach to Mitigate Hallucinations in
  MLLMs
A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs
Lehan He
Zeren Chen
Zhelun Shi
Tianyu Yu
Jing Shao
Lu Sheng
MLLM
118
1
0
26 Nov 2024
Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness
Avinash Amballa
Durga Sandeep Saluru
Gayathri Akkinapalli
Abhishek Sureddy
Akshay Kumar Sureddy
ALM
97
0
0
26 Nov 2024
Efficient Self-Improvement in Multimodal Large Language Models: A
  Model-Level Judge-Free Approach
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
Shijian Deng
Wentian Zhao
Yu-Jhe Li
Kun Wan
Daniel Miranda
Ajinkya Kale
Yapeng Tian
LRM
93
6
0
26 Nov 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li
Bohan Jiang
Liangjie Huang
Alimohammad Beigi
Chengshuai Zhao
...
Canyu Chen
Tianhao Wu
Kai Shu
Lu Cheng
Huan Liu
ELM
AILaw
131
74
0
25 Nov 2024
Learning from Relevant Subgoals in Successful Dialogs using Iterative
  Training for Task-oriented Dialog Systems
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
Magdalena Kaiser
P. Ernst
György Szarvas
82
1
0
25 Nov 2024
Video-Text Dataset Construction from Multi-AI Feedback: Promoting
  Weak-to-Strong Preference Learning for Video Large Language Models
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models
Hao Yi
Qingyang Li
Yihan Hu
Fuzheng Zhang
Di Zhang
Yong Liu
VGen
88
0
0
25 Nov 2024
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Ashmal Vayani
Dinura Dissanayake
Hasindri Watawana
Noor Ahsan
Nevasini Sasikumar
...
Monojit Choudhury
Ivan Laptev
Mubarak Shah
Salman Khan
Fahad A Khan
128
9
0
25 Nov 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
96
1
0
22 Nov 2024
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Elita Lobo
Chirag Agarwal
Himabindu Lakkaraju
LRM
92
6
0
22 Nov 2024
Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel
  Planning
Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning
Song Jiang
Da JU
Andrew Cohen
Sasha Mitts
Aaron Foss
Justine T Kao
Xian Li
Yuandong Tian
86
3
0
21 Nov 2024
Hymba: A Hybrid-head Architecture for Small Language Models
Hymba: A Hybrid-head Architecture for Small Language Models
Xin Dong
Y. Fu
Shizhe Diao
Wonmin Byeon
Zijia Chen
...
Min-Hung Chen
Yoshi Suhara
Y. Lin
Jan Kautz
Pavlo Molchanov
Mamba
107
21
0
20 Nov 2024
SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs
SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs
Shirley Kokane
Ming Zhu
Tulika Awalgaonkar
Jianguo Zhang
Thai Hoang
...
Juan Carlos Niebles
Huan Wang
Shelby Heinecke
Caiming Xiong
Silivo Savarese
LLMAG
111
1
0
20 Nov 2024
Metacognition for Unknown Situations and Environments (MUSE)
Metacognition for Unknown Situations and Environments (MUSE)
Rodolfo Valiente
Praveen K. Pilly
85
0
0
20 Nov 2024
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from
  Human Demonstrations
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
Gaurav Verma
Rachneet Kaur
Nishan Srishankar
Zhen Zeng
T. Balch
Manuela Veloso
LLMAG
77
5
0
20 Nov 2024
Patience Is The Key to Large Language Model Reasoning
Patience Is The Key to Large Language Model Reasoning
Yijiong Yu
LRM
75
0
0
20 Nov 2024
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code
  to Improve Code LMs
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
Zhihan Liu
Shenao Zhang
Yongfei Liu
Boyi Liu
Yingxiang Yang
Zhaoran Wang
115
3
0
20 Nov 2024
A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection
A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection
Gabriel Chua
Shing Yee Chan
Shaun Khoo
117
1
0
20 Nov 2024
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Shang Liu
Yu Pan
Guanting Chen
Xiaocheng Li
87
2
0
19 Nov 2024
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
Ziyi Zhang
Li Shen
Sen Zhang
Deheng Ye
Yong Luo
Miaojing Shi
Di Lin
Dacheng Tao
103
1
0
18 Nov 2024
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Xinyan Guan
Yanjiang Liu
Xinyu Lu
Boxi Cao
Xianpei Han
...
Le Sun
Jie Lou
Bowen Yu
Yaojie Lu
Hongyu Lin
ALM
96
2
0
18 Nov 2024
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
Tingyu Qu
Mingxiao Li
Tinne Tuytelaars
Marie-Francine Moens
VLM
52
2
0
17 Nov 2024
SymDPO: Boosting In-Context Learning of Large Multimodal Models with
  Symbol Demonstration Direct Preference Optimization
SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
Hongrui Jia
Chaoya Jiang
Haiyang Xu
Wei Ye
Mengfan Dong
Ming Yan
Ji Zhang
Fei Huang
Shikun Zhang
MLLM
103
2
0
17 Nov 2024
Chain of Alignment: Integrating Public Will with Expert Intelligence for
  Language Model Alignment
Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment
Andrew Konya
Aviv Ovadya
K. J. Kevin Feng
Quan Ze Chen
Lisa Schirch
Colin Irwin
Amy X. Zhang
ALM
69
2
0
15 Nov 2024
Mitigating Hallucination in Multimodal Large Language Model via
  Hallucination-targeted Direct Preference Optimization
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
Yuhan Fu
Ruobing Xie
Xingwu Sun
Zhanhui Kang
Xirong Li
MLLM
60
4
0
15 Nov 2024
Efficient Alignment of Large Language Models via Data Sampling
Efficient Alignment of Large Language Models via Data Sampling
Amrit Khera
Rajat Ghosh
Debojyoti Dutta
56
1
0
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Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Weiyun Wang
Zhe Chen
Wenhai Wang
Yue Cao
Yangzhou Liu
...
Jinguo Zhu
X. Zhu
Lewei Lu
Yu Qiao
Jifeng Dai
LRM
76
51
1
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Approximated Variational Bayesian Inverse Reinforcement Learning for
  Large Language Model Alignment
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Yuang Cai
Yuyu Yuan
Jinsheng Shi
Qinhong Lin
51
0
0
14 Nov 2024
Evaluating the Generation of Spatial Relations in Text and Image
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Evaluating the Generation of Spatial Relations in Text and Image Generative Models
Shang Hong Sim
Clarence Lee
A. Tan
Cheston Tan
EGVM
41
2
0
12 Nov 2024
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni
Jonathan Colaço-Carr
Yash More
Jackie CK Cheung
G. Farnadi
80
0
0
12 Nov 2024
SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering
  in LLMs
SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs
Ruben Härle
Felix Friedrich
Manuel Brack
Bjorn Deiseroth
P. Schramowski
Kristian Kersting
53
0
0
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