Statistical Rejection Sampling Improves Preference Optimization

Statistical Rejection Sampling Improves Preference Optimization

13 September 2023

Rishabh Joshi

Misha Khalman

Mohammad Saleh

Papers citing "Statistical Rejection Sampling Improves Preference Optimization"

18 / 168 papers shown

Title
Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji Cheng Lu Yilin Niu Pei Ke Hongning Wang Jun Zhu Jie Tang Minlie Huang 50 11 0 01 Feb 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint Zhipeng Chen Kun Zhou Wayne Xin Zhao Junchen Wan Fuzheng Zhang Di Zhang Ji-Rong Wen KELM 31 32 0 11 Jan 2024
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance Renjie Pi Tianyang Han Jianshu Zhang Yueqi Xie Rui Pan Qing Lian Hanze Dong Jipeng Zhang Tong Zhang AAML 23 59 0 05 Jan 2024
Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss Jing Xu Andrew Lee Sainbayar Sukhbaatar Jason Weston 8 86 0 27 Dec 2023
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint Wei Xiong Hanze Dong Chen Ye Ziqi Wang Han Zhong Heng Ji Nan Jiang Tong Zhang OffRL 22 154 0 18 Dec 2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking Jacob Eisenstein Chirag Nagpal Alekh Agarwal Ahmad Beirami Alex DÁmour ... Katherine Heller Stephen R. Pfohl Deepak Ramachandran Peter Shaw Jonathan Berant 24 82 0 14 Dec 2023
On Diversified Preferences of Large Language Model Alignment Dun Zeng Yong Dai Pengyu Cheng Longyue Wang Tianhao Hu Wanshun Chen Nan Du Zenglin Xu ALM 22 16 0 12 Dec 2023
A density estimation perspective on learning from pairwise human preferences Vincent Dumoulin Daniel D. Johnson Pablo Samuel Castro Hugo Larochelle Yann Dauphin 21 12 0 23 Nov 2023
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation Yikun Wang Rui Zheng Haoming Li Qi Zhang Tao Gui Fei Liu OffRL 19 3 0 15 Nov 2023
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game Pengyu Cheng Yifan Yang Jian Li Yong Dai Tianhao Hu Peixin Cao Nan Du Xiaolong Li 21 28 0 14 Nov 2023
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering Yichi Zhang Zhuo Chen Yin Fang Yanxi Lu Fangming Li Wen Zhang Hua-zeng Chen 53 28 0 11 Nov 2023
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment Geyang Guo Ranchi Zhao Tianyi Tang Wayne Xin Zhao Ji-Rong Wen ALM 27 27 0 07 Nov 2023
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models Ziniu Li Tian Xu Yushun Zhang Zhihang Lin Yang Yu Ruoyu Sun Zhimin Luo 19 45 0 16 Oct 2023
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization Zhanhui Zhou Jie Liu Chao Yang Jing Shao Yu Liu Xiangyu Yue Wanli Ouyang Yu Qiao 24 47 0 05 Oct 2023
Mitigating the Alignment Tax of RLHF Yong Lin Hangyu Lin Wei Xiong Shizhe Diao Zeming Zheng ... Han Zhao Nan Jiang Heng Ji Yuan Yao Tong Zhang MoMe CLL 16 63 0 12 Sep 2023
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 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
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015