DPO Meets PPO: Reinforced Token Optimization for RLHF

29 April 2024

Jiang Bian

Liwei Wang

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Papers citing "DPO Meets PPO: Reinforced Token Optimization for RLHF"

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Title
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Jiarui Yao Yifan Hao Hanning Zhang Hanze Dong Wei Xiong Nan Jiang Tong Zhang LRM 50 0 0 05 May 2025
A Survey on Progress in LLM Alignment from the Perspective of Reward Design Miaomiao Ji Yanqiu Wu Zhibin Wu Shoujin Wang Jian Yang Mark Dras Usman Naseem 37 0 0 05 May 2025
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning Shashank Gupta Chaitanya Ahuja Tsung-Yu Lin Sreya Dutta Roy Harrie Oosterhuis Maarten de Rijke Satya Narayan Shukla 46 1 0 02 Mar 2025
Advantage-Guided Distillation for Preference Alignment in Small Language Models Shiping Gao Fanqi Wan Jiajian Guo Xiaojun Quan Qifan Wang ALM 58 0 0 25 Feb 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF Shicong Cen Jincheng Mei Katayoon Goshvadi Hanjun Dai Tong Yang Sherry Yang Dale Schuurmans Yuejie Chi Bo Dai OffRL 60 23 0 20 Feb 2025
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 57 3 0 07 Nov 2024
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning H. Fernando Han Shen Parikshit Ram Yi Zhou Horst Samulowitz Nathalie Baracaldo Tianyi Chen CLL 50 2 0 20 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 45 14 0 15 Oct 2024
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates Hui Wei Shenghua He Tian Xia Andy H. Wong Jingyang Lin Mei Han Mei Han ALM ELM 59 23 0 23 Aug 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang Ruomeng Ding Yong Lin Huan Zhang Tong Zhang 21 42 0 14 Jun 2024
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
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 39 11 0 11 Jun 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 64 1 0 18 May 2024
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences Corby Rosset Ching-An Cheng Arindam Mitra Michael Santacroce Ahmed Hassan Awadallah Tengyang Xie 144 114 0 04 Apr 2024
RewardBench: Evaluating Reward Models for Language Modeling Nathan Lambert Valentina Pyatkin Jacob Morrison Lester James Validad Miranda Bill Yuchen Lin ... Sachin Kumar Tom Zick Yejin Choi Noah A. Smith Hanna Hajishirzi ALM 74 211 0 20 Mar 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment Rui Yang Xiaoman Pan Feng Luo Shuang Qiu Han Zhong Dong Yu Jianshu Chen 95 66 0 15 Feb 2024
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation Xiaoyu Chen Han Zhong Zhuoran Yang Zhaoran Wang Liwei Wang 118 60 0 23 May 2022
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 11,881 0 04 Mar 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 20 0 13 Jul 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 1,583 0 18 Sep 2019