ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

16 October 2023

Ziniu Li

Papers citing "ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models"

24 / 24 papers shown

Title
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent Ziyang Huang Xiaowei Yuan Yiming Ju Jun Zhao Kang Liu RALM KELM 26 0 0 12 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 39 0 0 05 May 2025
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 62 0 0 05 May 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Yang Yue Zhiqi Chen Rui Lu Andrew Zhao Zhaokai Wang Yang Yue Shiji Song Gao Huang ReLM LRM 58 12 0 18 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs Jiliang Ni Jiachen Pu Zhongyi Yang Kun Zhou Hui Wang Xiaoliang Xiao Dakui Wang Xin Li Jingfeng Luo Conggang Hu 37 0 0 18 Apr 2025
Aligning Constraint Generation with Design Intent in Parametric CAD Evan Casey Tianyu Zhang Shu Ishida John Roger Thompson Amir Hosein Khasahmadi Joseph George Lambourne P. Jayaraman K. Willis 38 0 0 17 Apr 2025
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning Taiwei Shi Yiyang Wu Linxin Song Dinesh Manocha Jieyu Zhao LRM 78 1 0 07 Apr 2025
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning Kai Ye Hongyi Zhou Jin Zhu Francesco Quinzan C. Shi 32 1 0 03 Apr 2025
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models Ruizhe Chen Wenhao Chai Zhifei Yang Xiaotian Zhang Qiufeng Wang Tony Q. S. Quek Soujanya Poria Zuozhu Liu 50 0 0 06 Mar 2025
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent Yuheng Zhang Dian Yu Tao Ge Linfeng Song Zhichen Zeng Haitao Mi Nan Jiang Dong Yu 60 1 0 24 Feb 2025
Simplify RLHF as Reward-Weighted SFT: A Variational Method Yuhao Du Zehan Li Pengyu Cheng Zhihong Chen Yuejiao Xie Xiang Wan Anningzhe Gao 38 1 0 20 Feb 2025
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Yafu Li Xuyang Hu Xiaoye Qu Linjie Li Yu-Xi Cheng 53 3 0 22 Jan 2025
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment Mingzhi Wang Chengdong Ma Qizhi Chen Linjian Meng Yang Han Jiancong Xiao Zhaowei Zhang Jing Huo Weijie Su Yaodong Yang 32 4 0 22 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs Shenao Zhang Zhihan Liu Boyi Liu Yuhang Zhang Yingxiang Yang Y. Liu Liyu Chen Tao Sun Ziyi Wang 98 3 0 10 Oct 2024
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Yuheng Zhang Dian Yu Baolin Peng Linfeng Song Ye Tian Mingyue Huo Nan Jiang Haitao Mi Dong Yu 35 15 0 30 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 59 14 0 24 Jun 2024
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding Yichao Fu Peter Bailis Ion Stoica Hao Zhang 130 141 0 03 Feb 2024
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning Desai Xie Jiahao Li Hao Tan Xin Sun Zhixin Shu Yi Zhou Sai Bi Soren Pirk Arie E. Kaufman 34 8 0 21 Dec 2023
Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk Ishita Mediratta Christoforos Nalmpantis Jelena Luketina Eric Hambro Edward Grefenstette Roberta Raileanu AI4CE ALM 112 122 0 10 Oct 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 227 502 0 28 Sep 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 313 11,953 0 04 Mar 2022
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 177 414 0 18 Jan 2021
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,327 0 05 Jun 2016