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Direct Preference Optimization with an Offset

Direct Preference Optimization with an Offset

16 February 2024
Afra Amini
Tim Vieira
Ryan Cotterell
ArXivPDFHTML

Papers citing "Direct Preference Optimization with an Offset"

14 / 14 papers shown
Title
Design Considerations in Offline Preference-based RL
Design Considerations in Offline Preference-based RL
Alekh Agarwal
Christoph Dann
T. V. Marinov
OffRL
76
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
140
2
0
23 Dec 2024
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
164
6
0
07 Nov 2024
TODO: Enhancing LLM Alignment with Ternary Preferences
TODO: Enhancing LLM Alignment with Ternary Preferences
Yuxiang Guo
Lu Yin
Bo Jiang
Jiaqi Zhang
92
1
0
02 Nov 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
382
2
0
11 Oct 2024
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
Seongho Son
William Bankes
Sayak Ray Chowdhury
Brooks Paige
Ilija Bogunovic
73
4
0
26 Jul 2024
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
Yuzi Yan
Yibo Miao
J. Li
Yipin Zhang
Jian Xie
Zhijie Deng
Dong Yan
71
12
0
11 Jun 2024
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Hritik Bansal
Ashima Suvarna
Gantavya Bhatt
Nanyun Peng
Kai-Wei Chang
Aditya Grover
ALM
95
10
0
31 Mar 2024
A General Theoretical Paradigm to Understand Learning from Human
  Preferences
A General Theoretical Paradigm to Understand Learning from Human Preferences
M. G. Azar
Mark Rowland
Bilal Piot
Daniel Guo
Daniele Calandriello
Michal Valko
Rémi Munos
155
597
0
18 Oct 2023
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
99
213
0
26 May 2022
Recursively Summarizing Books with Human Feedback
Recursively Summarizing Books with Human Feedback
Jeff Wu
Long Ouyang
Daniel M. Ziegler
Nissan Stiennon
Ryan J. Lowe
Jan Leike
Paul Christiano
ALM
93
301
0
22 Sep 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
434
1,664
0
18 Sep 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
285
18,685
0
20 Jul 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
170
8,805
0
04 Feb 2016
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