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GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment

10 October 2024

Yuancheng Xu

Udari Madhushani Sehwag

Papers citing "GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment"

48 / 48 papers shown

Title
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment Bin Xie Bingbing Xu Yige Yuan Shengmao Zhu Huawei Shen 27 0 0 14 Jun 2025
Intra-Trajectory Consistency for Reward Modeling Chaoyang Zhou Shunyu Liu Zengmao Wang Di Wang Rong-Cheng Tu Bo Du Dacheng Tao 41 0 0 10 Jun 2025
Multi-objective Large Language Model Alignment with Hierarchical Experts Zhuo Li Guodong DU Weiyang Guo Yigeng Zhou Xiucheng Li ... Fangming Liu Yequan Wang Deheng Ye Min Zhang Jing Li ALM MoE 82 0 0 27 May 2025
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO Ruizhe Shi Minhak Song Runlong Zhou Zihan Zhang Maryam Fazel S. S. Du 74 0 0 26 May 2025
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin Weisen Jiang Yuancheng Xu Hao Chen Ying-Cong Chen 88 1 0 06 May 2025
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models Zhouhang Xie Junda Wu Yiran Shen Yu Xia Xintong Li ... Sachin Kumar Bodhisattwa Prasad Majumder Jingbo Shang Prithviraj Ammanabrolu Julian McAuley 158 1 0 09 Apr 2025
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos Haolin Yang Feilong Tang Ming Hu Yulong Li Junjie Guo ... Zelin Peng Junjun He Junjun He Zongyuan Ge Imran Razzak DiffM VGen 301 2 0 20 Mar 2025
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning Yang Liu Kevin Qinghong Lin C. Chen Mike Zheng Shou LM&Ro LRM 389 6 0 17 Mar 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences Minbeom Kim Kang-il Lee Seongho Joo Hwaran Lee Thibaut Thonet Kyomin Jung AI4TS 206 1 0 20 Feb 2025
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees Yongtao Wu Luca Viano Yihang Chen Zhenyu Zhu Kimon Antonakopoulos Quanquan Gu Volkan Cevher 177 1 0 18 Feb 2025
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models Bang An Sicheng Zhu Ruiyi Zhang Michael-Andrei Panaitescu-Liess Yuancheng Xu Furong Huang AAML 138 18 0 01 Sep 2024
Decoding-Time Language Model Alignment with Multiple Objectives Ruizhe Shi Yifang Chen Yushi Hu Alisa Liu Hannaneh Hajishirzi Noah A. Smith Simon Du 140 43 0 27 Jun 2024
Improve Mathematical Reasoning in Language Models by Automated Process Supervision Liangchen Luo Yinxiao Liu Rosanne Liu Samrat Phatale Harsh Lara ... Lei Shu Yun Zhu Lei Meng Jiao Sun Abhinav Rastogi LRM 123 193 0 05 Jun 2024
Transfer Q Star: Principled Decoding for LLM Alignment Souradip Chakraborty Soumya Suvra Ghosal Ming Yin Dinesh Manocha Mengdi Wang Amrit Singh Bedi Furong Huang 120 33 0 30 May 2024
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models Zhanhui Zhou Zhixuan Liu Jie Liu Zhichen Dong Chao Yang Yu Qiao ALM 109 27 0 29 May 2024
Value Augmented Sampling for Language Model Alignment and Personalization Seungwook Han Idan Shenfeld Akash Srivastava Yoon Kim Pulkit Agrawal OffRL 88 29 0 10 May 2024
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Yann Dubois Balázs Galambosi Percy Liang Tatsunori Hashimoto ALM 171 403 0 06 Apr 2024
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment Yiju Guo Ganqu Cui Lifan Yuan Ning Ding Jiexin Wang ... Ruobing Xie Jie Zhou Yankai Lin Zhiyuan Liu Maosong Sun 97 66 0 29 Feb 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards Haoxiang Wang Yong Lin Wei Xiong Rui Yang Shizhe Diao Shuang Qiu Han Zhao Tong Zhang 133 88 0 28 Feb 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 220 83 0 15 Feb 2024
DeAL: Decoding-time Alignment for Large Language Models James Y. Huang Sailik Sengupta Daniele Bonadiman Yi-An Lai Arshit Gupta Nikolaos Pappas Saab Mansour Katrin Kirchoff Dan Roth 129 36 0 05 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 127 62 0 23 Jan 2024
Self-Rewarding Language Models Weizhe Yuan Richard Yuanzhe Pang Kyunghyun Cho Xian Li Sainbayar Sukhbaatar Jing Xu Jason Weston ReLM SyDa ALM LRM 403 339 0 18 Jan 2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Zixiang Chen Yihe Deng Huizhuo Yuan Kaixuan Ji Quanquan Gu SyDa 143 327 0 02 Jan 2024
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision Collin Burns Pavel Izmailov Jan Hendrik Kirchner Bowen Baker Leo Gao ... Adrien Ecoffet Manas Joglekar Jan Leike Ilya Sutskever Jeff Wu ELM 134 298 0 14 Dec 2023
Controlled Text Generation via Language Model Arithmetic Jasper Dekoninck Marc Fischer Luca Beurer-Kellner Martin Vechev 95 40 0 24 Nov 2023
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 Hamish Ivison Yizhong Wang Valentina Pyatkin Nathan Lambert Matthew E. Peters ... Joel Jang David Wadden Noah A. Smith Iz Beltagy Hanna Hajishirzi ALM ELM 131 194 0 17 Nov 2023
Controlled Decoding from Language Models Sidharth Mudgal Jong Lee H. Ganapathy Yaguang Li Tao Wang ... Michael Collins Trevor Strohman Jilin Chen Alex Beutel Ahmad Beirami 129 91 0 25 Oct 2023
An Emulator for Fine-Tuning Large Language Models using Small Language Models Eric Mitchell Rafael Rafailov Archit Sharma Chelsea Finn Christopher D. Manning ALM 112 56 0 19 Oct 2023
Safe RLHF: Safe Reinforcement Learning from Human Feedback Josef Dai Xuehai Pan Ruiyang Sun Jiaming Ji Xinbo Xu Mickel Liu Yizhou Wang Yaodong Yang 141 364 0 19 Oct 2023
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging Joel Jang Seungone Kim Bill Yuchen Lin Yizhong Wang Jack Hessel Luke Zettlemoyer Hannaneh Hajishirzi Yejin Choi Prithviraj Ammanabrolu MoMe 131 153 0 17 Oct 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 158 533 0 27 Jul 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset Jiaming Ji Mickel Liu Juntao Dai Xuehai Pan Chi Zhang Ce Bian Chi Zhang Ruiyang Sun Yizhou Wang Yaodong Yang ALM 98 506 0 10 Jul 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 120 158 0 07 Jun 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training Zeqiu Wu Yushi Hu Weijia Shi Nouha Dziri Alane Suhr Prithviraj Ammanabrolu Noah A. Smith Mari Ostendorf Hannaneh Hajishirzi ALM 164 335 0 02 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 405 4,187 0 29 May 2023
Planning with Large Language Models for Code Generation Shun Zhang Zhenfang Chen Songlin Yang Mingyu Ding J. Tenenbaum Chuang Gan 105 163 0 09 Mar 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.6K 13,538 0 27 Feb 2023
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 131 569 0 19 Oct 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 262 2,630 0 12 Apr 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 933 13,282 0 04 Mar 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 717 10,634 0 17 Jun 2021
Learning to summarize from human feedback Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 301 2,195 0 02 Sep 2020
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 567 1,775 0 18 Sep 2019
Deep Reinforcement Learning for Multi-objective Optimization Kaiwen Li Tao Zhang Rui Wang AI4CE 85 273 0 06 Jun 2019
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 420 0 19 Nov 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 693 19,363 0 20 Jul 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control Natasha Jaques S. Gu Dzmitry Bahdanau José Miguel Hernández-Lobato Richard Turner Douglas Eck 184 173 0 09 Nov 2016