Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss

27 December 2023

Jason Weston

Papers citing "Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss"

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Title
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning Tianjian Li Daniel Khashabi 55 0 0 05 May 2025
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce Wei Xiong Jiarui Yao Yuhui Xu Bo Pang Lei Wang ... Junnan Li Nan Jiang Tong Zhang Caiming Xiong Hanze Dong OffRL LRM 45 6 0 15 Apr 2025
Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data Shuai Zhao Linchao Zhu Yi Yang 39 2 0 14 Apr 2025
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization Mengyang Li Zhong Zhang 27 0 0 10 Apr 2025
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks Yifei Zhou Song Jiang Yuandong Tian Jason Weston Sergey Levine Sainbayar Sukhbaatar Xian Li LLMAG LRM 62 4 0 19 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding Wei Suo Lijun Zhang Mengyang Sun Lin Yuanbo Wu Peng Wang Yuyao Zhang MLLM VLM 47 1 0 01 Mar 2025
Robust Multi-Objective Preference Alignment with Online DPO Raghav Gupta Ryan Sullivan Yunxuan Li Samrat Phatale Abhinav Rastogi 42 0 0 01 Mar 2025
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective Jiawei Huang Bingcong Li Christoph Dann Niao He OffRL 85 0 0 26 Feb 2025
Larger or Smaller Reward Margins to Select Preferences for Alignment? Kexin Huang Junkang Wu Ziqian Chen Xue Wang Jinyang Gao Bolin Ding Jiancan Wu Xiangnan He Xuben Wang 55 0 0 25 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 50 0 0 25 Feb 2025
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization Yongcheng Zeng Xinyu Cui Xuanfa Jin Guoqing Liu Zexu Sun Quan He Dong Li Ning Yang Haifeng Zhang Jun Wang LLMAG LRM 95 1 0 08 Feb 2025
Diverse Preference Optimization Jack Lanchantin Angelica Chen S. Dhuliawala Ping Yu Jason Weston Sainbayar Sukhbaatar Ilia Kulikov 93 4 0 30 Jan 2025
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration Avinandan Bose Zhihan Xiong Aadirupa Saha S. Du Maryam Fazel 76 1 0 13 Dec 2024
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Yang Wu Huayi Zhang Yizheng Jiao Lin Ma Xiaozhong Liu Jinhong Yu Dongyu Zhang Dezhi Yu Wei Xu 85 1 0 01 Dec 2024
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems Magdalena Kaiser P. Ernst György Szarvas 74 0 0 25 Nov 2024
Sample-Efficient Alignment for LLMs Zichen Liu Changyu Chen Chao Du Wee Sun Lee Min-Bin Lin 36 3 0 03 Nov 2024
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration Qintong Li Jiahui Gao Sheng Wang Renjie Pi Xueliang Zhao Chuan Wu Xin Jiang Zhiyu Li Lingpeng Kong SyDa 28 3 0 22 Oct 2024
Can Large Language Models Invent Algorithms to Improve Themselves? Yoichi Ishibashi Taro Yano Masafumi Oyamada AIFin LRM 34 1 0 21 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both Abhijnan Nath Changsoo Jung Ethan Seefried Nikhil Krishnaswamy 155 1 0 11 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs Shenao Zhang Zhihan Liu Boyi Liu Wenjie Qu Yingxiang Yang Y. Liu Liyu Chen Tao Sun Ziyi Wang 101 3 0 10 Oct 2024
Accelerated Preference Optimization for Large Language Model Alignment Jiafan He Huizhuo Yuan Q. Gu 26 1 0 08 Oct 2024
MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans? Guanzhen Li Yuxi Xie Min-Yen Kan VLM 137 0 0 06 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk Ian Wu Patrick Fernandes Amanda Bertsch Seungone Kim Sina Pakazad Graham Neubig 48 9 0 03 Oct 2024
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits Duy Nguyen Archiki Prasad Elias Stengel-Eskin Joey Tianyi Zhou 23 3 0 02 Oct 2024
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data Ziyi Ye Xiangsheng Li Qiuchi Li Qingyao Ai Yujia Zhou Wei Shen Dong Yan Yiqun Liu 50 10 0 01 Oct 2024
Aligning Language Models Using Follow-up Likelihood as Reward Signal Chen Zhang Dading Chong Feng Jiang Chengguang Tang Anningzhe Gao Guohua Tang Haizhou Li ALM 33 2 0 20 Sep 2024
Preference Alignment Improves Language Model-Based TTS Jinchuan Tian Chunlei Zhang Jiatong Shi Hao Zhang Jianwei Yu Shinji Watanabe Dong Yu 32 7 0 19 Sep 2024
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization Jianing Wang Yang Zhou Xiaocheng Zhang Mengjiao Bao Peng Yan 30 1 0 17 Sep 2024
AIPO: Improving Training Objective for Iterative Preference Optimization Yaojie Shen Xinyao Wang Yulei Niu Ying Zhou Lexin Tang Libo Zhang Fan Chen Longyin Wen 23 2 0 13 Sep 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization Yong Lin Skyler Seto Maartje ter Hoeve Katherine Metcalf B. Theobald Xuan Wang Yizhe Zhang Chen Huang Tong Zhang 46 12 0 05 Sep 2024
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs Yassine Ouali Adrian Bulat Brais Martínez Georgios Tzimiropoulos VLM MLLM 32 18 0 19 Aug 2024
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge Tianhao Wu Weizhe Yuan O. Yu. Golovneva Jing Xu Yuandong Tian Jiantao Jiao Jason Weston Sainbayar Sukhbaatar ALM KELM LRM 64 73 0 28 Jul 2024
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift Seongho Son William Bankes Sayak Ray Chowdhury Brooks Paige Ilija Bogunovic 42 4 0 26 Jul 2024
Understanding Reference Policies in Direct Preference Optimization Yixin Liu Pengfei Liu Arman Cohan 39 7 0 18 Jul 2024
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning Yifang Chen Shuohang Wang Ziyi Yang Hiteshi Sharma Nikos Karampatziakis Donghan Yu Kevin G. Jamieson Simon Shaolei Du Yelong Shen OffRL 51 4 0 02 Jul 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts Haoxiang Wang Wei Xiong Tengyang Xie Han Zhao Tong Zhang 54 140 0 18 Jun 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models Fei Wang Wenxuan Zhou James Y. Huang Nan Xu Sheng Zhang Hoifung Poon Muhao Chen 66 15 0 17 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 35 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 33 16 0 17 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models Chris Xiaoxuan Lu Samuel Holt Claudio Fanconi Alex J. Chan Jakob Foerster M. Schaar R. T. Lange OffRL 37 15 0 12 Jun 2024
Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong Haorui Wang Wenhao Mu Yuanqi Du Yuchen Zhuang Yifei Zhou Yue Song Rongzhi Zhang Kai Wang Chao Zhang 32 22 0 10 Jun 2024
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen Ruoxi Sun Sercan Ö. Arik Tomas Pfister LLMAG 32 6 0 31 May 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 49 33 0 31 May 2024
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment Yueqin Yin Zhendong Wang Yujia Xie Weizhu Chen Mingyuan Zhou 35 4 0 31 May 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models Chen Zhang Chengguang Tang Dading Chong Ke Shi Guohua Tang Feng Jiang Haizhou Li 35 4 0 30 May 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension Yihe Deng Pan Lu Fan Yin Ziniu Hu Sheng Shen James Zou Kai-Wei Chang Wei Wang SyDa VLM LRM 44 36 0 30 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 48 28 0 29 May 2024
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series Ge Zhang Scott Qu Jiaheng Liu Chenchen Zhang Chenghua Lin ... Zi-Kai Zhao Jiajun Zhang Wanli Ouyang Wenhao Huang Wenhu Chen ELM 43 44 0 29 May 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng Mengzhou Xia Danqi Chen 68 358 0 23 May 2024