From Lists to Emojis: How Format Bias Affects Model Alignment

18 September 2024

Papers citing "From Lists to Emojis: How Format Bias Affects Model Alignment"

50 / 61 papers shown

Title
On the Robustness of Reward Models for Language Model Alignment Jiwoo Hong Noah Lee Eunki Kim Guijin Son Woojin Chung Aman Gupta Shao Tang James Thorne 42 0 0 12 May 2025
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future Jialun Zhong Wei Shen Yanzeng Li Songyang Gao Hua Lu Yicheng Chen Yang Zhang Wei Zhou Jinjie Gu Lei Zou LRM 64 8 0 12 Apr 2025
InCo-DPO: Balancing Distribution Shift and Data Quality for Enhanced Preference Optimization Yunan Wang Jijie Li Bo Zhang Liangdong Wang Guang Liu 70 0 0 20 Mar 2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models Niccolò Turcato Matteo Iovino Aris Synodinos Alberto Dalla Libera R. Carli Pietro Falco LM&Ro 64 0 0 06 Mar 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems Hao Peng Yunjia Qi Xiaozhi Wang Zijun Yao Bin Xu Lei Hou Juanzi Li ALM LRM 67 5 0 26 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 91 31 0 20 Feb 2025
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 94 5 0 07 Nov 2024
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Xiaosen Zheng Tianyu Pang Chao Du Qian Liu Jing Jiang Min Lin 55 8 0 09 Oct 2024
Post-hoc Reward Calibration: A Case Study on Length Bias Zeyu Huang Zihan Qiu Zili Wang Edoardo M. Ponti Ivan Titov 56 5 0 25 Sep 2024
RRM: Robust Reward Model Training Mitigates Reward Hacking Tianqi Liu Wei Xiong Jie Jessie Ren Lichang Chen Junru Wu ... Yuan Liu Bilal Piot Abe Ittycheriah Aviral Kumar Mohammad Saleh AAML 58 18 0 20 Sep 2024
OffsetBias: Leveraging Debiased Data for Tuning Evaluators Junsoo Park Seungyeon Jwa Meiying Ren Daeyoung Kim Sanghyuk Choi ALM 36 38 0 09 Jul 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 69 16 0 24 Jun 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts Haoxiang Wang Wei Xiong Tengyang Xie Han Zhao Tong Zhang 62 157 0 18 Jun 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving Yuxuan Tong Xiwen Zhang Rui Wang R. Wu Junxian He AIMat LRM 48 34 0 18 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 70 18 0 17 Jun 2024
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level Jie Liu Zhanhui Zhou Jiaheng Liu Xingyuan Bu Chao Yang Han-Sen Zhong Wanli Ouyang 37 19 0 17 Jun 2024
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Carson E. Denison M. MacDiarmid Fazl Barez David Duvenaud Shauna Kravec ... Jared Kaplan Buck Shlegeris Samuel R. Bowman Ethan Perez Evan Hubinger 63 37 0 14 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 48 43 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 56 40 0 31 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 58 32 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 105 29 0 29 May 2024
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment Keming Lu Bowen Yu Fei Huang Yang Fan Runji Lin Chang Zhou MoMe 61 19 0 28 May 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer Zhihan Liu Miao Lu Shenao Zhang Boyi Liu Hongyi Guo Yingxiang Yang Jose H. Blanchet Zhaoran Wang 61 47 0 26 May 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng Mengzhou Xia Danqi Chen 74 409 0 23 May 2024
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework Jian Hu Xibin Wu Weixun Wang OpenLLMAI Team Dehao Zhang Yu Cao AI4CE VLM 44 108 0 20 May 2024
RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong Wei Xiong Bo Pang Haoxiang Wang Han Zhao Yingbo Zhou Nan Jiang Doyen Sahoo Caiming Xiong Tong Zhang OffRL 36 109 0 13 May 2024
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data Fahim Tajwar Anika Singh Archit Sharma Rafael Rafailov Jeff Schneider Tengyang Xie Stefano Ermon Chelsea Finn Aviral Kumar 55 112 0 22 Apr 2024
LLM Evaluators Recognize and Favor Their Own Generations Arjun Panickssery Samuel R. Bowman Shi Feng 60 172 0 15 Apr 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 161 122 0 04 Apr 2024
Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan Ganqu Cui Hanbin Wang Ning Ding Xingyao Wang ... Zhenghao Liu Bowen Zhou Hao Peng Zhiyuan Liu Maosong Sun LRM 71 109 0 02 Apr 2024
Disentangling Length from Quality in Direct Preference Optimization Ryan Park Rafael Rafailov Stefano Ermon Chelsea Finn ALM 60 126 0 28 Mar 2024
RewardBench: Evaluating Reward Models for Language Modeling Nathan Lambert Valentina Pyatkin Jacob Morrison Lester James V. Miranda Bill Yuchen Lin ... Sachin Kumar Tom Zick Yejin Choi Noah A. Smith Hanna Hajishirzi ALM 96 240 0 20 Mar 2024
ORPO: Monolithic Preference Optimization without Reference Model Jiwoo Hong Noah Lee James Thorne OSLM 59 232 0 12 Mar 2024
Teaching Large Language Models to Reason with Reinforcement Learning Alex Havrilla Yuqing Du Sharath Chandra Raparthy Christoforos Nalmpantis Jane Dwivedi-Yu Maksym Zhuravinskyi Eric Hambro Sainbayar Sukhbaatar Roberta Raileanu ReLM LRM 49 82 0 07 Mar 2024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference Wei-Lin Chiang Lianmin Zheng Ying Sheng Anastasios Nikolas Angelopoulos Tianle Li ... Hao Zhang Banghua Zhu Michael I. Jordan Joseph E. Gonzalez Ion Stoica OSLM 77 536 0 07 Mar 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 55 75 0 28 Feb 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen Chen Zhu Davit Soselia Jiuhai Chen Dinesh Manocha Tom Goldstein Heng-Chiao Huang Mohammad Shoeybi Bryan Catanzaro AAML 76 54 0 11 Feb 2024
Generalized Preference Optimization: A Unified Approach to Offline Alignment Yunhao Tang Z. Guo Zeyu Zheng Daniele Calandriello Rémi Munos Mark Rowland Pierre Harvey Richemond Michal Valko Bernardo Avila-Pires Bilal Piot 34 100 0 08 Feb 2024
Direct Language Model Alignment from Online AI Feedback Shangmin Guo Biao Zhang Tianlin Liu Tianqi Liu Misha Khalman ... Thomas Mesnard Yao-Min Zhao Bilal Piot Johan Ferret Mathieu Blondel ALM 45 142 0 07 Feb 2024
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 55 179 0 18 Dec 2023
A General Theoretical Paradigm to Understand Learning from Human Preferences M. G. Azar Mark Rowland Bilal Piot Daniel Guo Daniele Calandriello Michal Valko Rémi Munos 83 580 0 18 Oct 2023
Mistral 7B Albert Q. Jiang Alexandre Sablayrolles A. Mensch Chris Bamford Devendra Singh Chaplot ... Teven Le Scao Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LRM 28 2,102 0 10 Oct 2023
A Long Way to Go: Investigating Length Correlations in RLHF Prasann Singhal Tanya Goyal Jiacheng Xu Greg Durrett 81 148 0 05 Oct 2023
Statistical Rejection Sampling Improves Preference Optimization Tianqi Liu Yao-Min Zhao Rishabh Joshi Misha Khalman Mohammad Saleh Peter J. Liu Jialu Liu 74 229 0 13 Sep 2023
Reinforced Self-Training (ReST) for Language Modeling Çağlar Gülçehre T. Paine S. Srinivasan Ksenia Konyushkova L. Weerts ... Chenjie Gu Wolfgang Macherey Arnaud Doucet Orhan Firat Nando de Freitas OffRL 73 291 0 17 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 184 11,484 0 18 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 55 447 0 10 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 167 4,085 0 09 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 244 3,712 0 29 May 2023
SLiC-HF: Sequence Likelihood Calibration with Human Feedback Yao-Min Zhao Rishabh Joshi Tianqi Liu Misha Khalman Mohammad Saleh Peter J. Liu 49 284 0 17 May 2023