Title
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning Tianjian Li Daniel Khashabi 53 0 0 05 May 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao Bojian Hou Zhanliang Wang Ruochen Jin Q. Long Weijie Su Li Shen 28 0 0 04 May 2025
REWARD CONSISTENCY: Improving Multi-Objective Alignment from a Data-Centric Perspective Zhihao Xu Yongqi Tong Xin Zhang Jun Zhou Xiting Wang 33 0 0 15 Apr 2025
Perception in Reflection Yana Wei Liang Zhao Kangheng Lin En Yu Yuang Peng ... Jianjian Sun Haoran Wei Zheng Ge Xiangyu Zhang Vishal M. Patel 31 0 0 09 Apr 2025
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System Ahsan Bilal Beiyu Lin OffRL RALM AI4MH 42 1 0 02 Apr 2025
Reasoning Beyond Limits: Advances and Open Problems for LLMs M. Ferrag Norbert Tihanyi Merouane Debbah ELM OffRL LRM AI4CE 62 2 0 26 Mar 2025
RL-finetuning LLMs from on- and off-policy data with a single algorithm Yunhao Tang Taco Cohen David W. Zhang Michal Valko Rémi Munos OffRL 42 1 0 25 Mar 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations Ran Tian Kratarth Goel 41 0 0 25 Mar 2025
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning Gokul Swamy Sanjiban Choudhury Wen Sun Zhiwei Steven Wu J. Andrew Bagnell OffRL 42 7 0 03 Mar 2025
Preference Learning Unlocks LLMs' Psycho-Counseling Skills Mian Zhang S. Eack Zhiyu Zoey Chen 75 1 0 27 Feb 2025
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data Siqi Guo Ilgee Hong Vicente Balmaseda Changlong Yu Liang Qiu Xin Liu Haoming Jiang Tuo Zhao Tianbao Yang 43 0 0 25 Feb 2025
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 113 3 0 06 Feb 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 79 14 0 28 Jan 2025
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion Yannis Flet-Berliac Nathan Grinsztajn Florian Strub Bill Wu Eugene Choi ... Arash Ahmadian Yash Chandak M. G. Azar Olivier Pietquin Matthieu Geist OffRL 62 4 0 17 Jan 2025
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Xinyan Guan Yanjiang Liu Xinyu Lu Boxi Cao Ben He ... Le Sun Jie Lou Bowen Yu Y. Lu Hongyu Lin ALM 79 2 0 18 Nov 2024
Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization Zhuotong Chen Fang Liu Jennifer Zhu Wanyu Du Yanjun Qi 33 0 0 07 Nov 2024
Sample-Efficient Alignment for LLMs Zichen Liu Changyu Chen Chao Du Wee Sun Lee Min-Bin Lin 31 3 0 03 Nov 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Aaron C. Courville OffRL 77 4 0 23 Oct 2024
Optimal Design for Reward Modeling in RLHF Antoine Scheid Etienne Boursier Alain Durmus Michael I. Jordan Pierre Ménard Eric Moulines Michal Valko OffRL 32 5 0 22 Oct 2024
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 30 4 0 22 Oct 2024
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Yougang Lyu Lingyong Yan Zihan Wang Dawei Yin Pengjie Ren Maarten de Rijke Z. Z. Ren 55 6 0 10 Oct 2024
Rational Metareasoning for Large Language Models C. Nicolò De Sabbata T. Sumers Thomas L. Griffiths ReLM LRM 28 1 0 07 Oct 2024
SePPO: Semi-Policy Preference Optimization for Diffusion Alignment Daoan Zhang Guangchen Lan Dong-Jun Han Wenlin Yao Xiaoman Pan ... Mingxiao Li Pengcheng Chen Yu Dong Christopher Brinton Jiebo Luo EGVM 31 4 0 07 Oct 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai Haoran Sun Huang Fang Shuohuan Wang Yu Sun Hua-Hong Wu 50 1 0 03 Oct 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 37 11 0 11 Sep 2024
Understanding Alignment in Multimodal LLMs: A Comprehensive Study Elmira Amirloo J. Fauconnier Christoph Roesmann Christian Kerl Rinu Boney ... Zirui Wang Afshin Dehghan Yinfei Yang Zhe Gan Peter Grasch 33 6 0 02 Jul 2024
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs John Dang Arash Ahmadian Kelly Marchisio Julia Kreutzer A. Ustun Sara Hooker 34 21 0 02 Jul 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 30 14 0 30 Jun 2024
SAIL: Self-Improving Efficient Online Alignment of Large Language Models Mucong Ding Souradip Chakraborty Vibhu Agrawal Zora Che Alec Koppel Mengdi Wang Amrit Singh Bedi Furong Huang 26 9 0 21 Jun 2024
WPO: Enhancing RLHF with Weighted Preference Optimization Wenxuan Zhou Ravi Agrawal Shujian Zhang Sathish Indurthi Sanqiang Zhao Kaiqiang Song Silei Xu Chenguang Zhu 32 16 0 17 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 60 22 0 14 Jun 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback Hamish Ivison Yizhong Wang Jiacheng Liu Zeqiu Wu Valentina Pyatkin Nathan Lambert Noah A. Smith Yejin Choi Hannaneh Hajishirzi 36 38 0 13 Jun 2024
OPTune: Efficient Online Preference Tuning Lichang Chen Jiuhai Chen Chenxi Liu John Kirchenbauer Davit Soselia Chen Zhu Tom Goldstein Tianyi Zhou Heng Huang 31 4 0 11 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
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov Yaswanth Chittepu Ryan Park Harshit S. Sikchi Joey Hejna Bradley Knox Chelsea Finn S. Niekum 42 47 0 05 Jun 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling Lin Gui Cristina Garbacea Victor Veitch BDL LM&MA 36 35 0 02 Jun 2024
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF Tengyang Xie Dylan J. Foster Akshay Krishnamurthy Corby Rosset Ahmed Hassan Awadallah Alexander Rakhlin 36 32 0 31 May 2024
Direct Alignment of Language Models via Quality-Aware Self-Refinement Runsheng Yu Yong Wang Xiaoqi Jiao Youzhi Zhang James T. Kwok 48 7 0 31 May 2024
Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen Sadhika Malladi Lily H. Zhang Xinyi Chen Qiuyi Zhang Rajesh Ranganath Kyunghyun Cho 20 22 0 29 May 2024
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment Shenao Zhang Donghan Yu Hiteshi Sharma Ziyi Yang Shuohang Wang Hany Hassan Zhaoran Wang LRM 35 28 0 29 May 2024
Robust Preference Optimization through Reward Model Distillation Adam Fisch Jacob Eisenstein Vicky Zayats Alekh Agarwal Ahmad Beirami Chirag Nagpal Peter Shaw Jonathan Berant 70 20 0 29 May 2024
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization Jiancong Xiao Ziniu Li Xingyu Xie E. Getzen Cong Fang Qi Long Weijie J. Su 41 10 0 26 May 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng Mengzhou Xia Danqi Chen 57 335 0 23 May 2024
Online Self-Preferring Language Models Yuanzhao Zhai Zhuo Zhang Kele Xu Hanyang Peng Yue Yu Dawei Feng Cheng Yang Bo Ding Huaimin Wang 36 0 0 23 May 2024
Annotation-Efficient Preference Optimization for Language Model Alignment Yuu Jinnai Ukyo Honda 38 0 0 22 May 2024
Gemma: Open Models Based on Gemini Research and Technology Gemma Team Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju ... Armand Joulin Noah Fiedel Evan Senter Alek Andreev Kathleen Kenealy VLM LLMAG 123 415 0 13 Mar 2024
KTO: Model Alignment as Prospect Theoretic Optimization Kawin Ethayarajh Winnie Xu Niklas Muennighoff Dan Jurafsky Douwe Kiela 159 437 0 02 Feb 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 22 94 0 08 Jan 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models Avi Singh John D. Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil ... Yamini Bansal Ethan Dyer Behnam Neyshabur Jascha Narain Sohl-Dickstein Noah Fiedel ALM LRM ReLM SyDa 147 143 0 11 Dec 2023
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 301 11,730 0 04 Mar 2022