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Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both

11 October 2024

Papers citing "Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both"

50 / 61 papers shown

Title
Frictional Agent Alignment Framework: Slow Down and Don't Break Things Abhijnan Nath Carine Graff Andrei Bachinin Nikhil Krishnaswamy 110 1 0 26 May 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank Tianqi Liu Zhen Qin Junru Wu Jiaming Shen Misha Khalman ... Mohammad Saleh Simon Baumgartner Jialu Liu Peter J. Liu Xuanhui Wang 321 60 0 28 Jan 2025
Generative Monoculture in Large Language Models Fan Wu Emily Black Varun Chandrasekaran SyDa 65 5 0 02 Jul 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach Ziqi Wang Hanlin Zhang Xiner Li Kuan-Hao Huang Chi Han Shuiwang Ji Sham Kakade Hao Peng Heng Ji 135 20 0 01 Jul 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang Ruomeng Ding Yong Lin Huan Zhang Tong Zhang 103 62 0 14 Jun 2024
Robust Preference Optimization through Reward Model Distillation Adam Fisch Jacob Eisenstein Vicky Zayats Alekh Agarwal Ahmad Beirami Chirag Nagpal Peter Shaw Jonathan Berant 150 37 0 29 May 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng Mengzhou Xia Danqi Chen 145 492 0 23 May 2024
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Yann Dubois Balázs Galambosi Percy Liang Tatsunori Hashimoto ALM 141 402 0 06 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 199 132 0 04 Apr 2024
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization Hritik Bansal Ashima Suvarna Gantavya Bhatt Nanyun Peng Kai-Wei Chang Aditya Grover ALM 145 11 0 31 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 180 261 0 20 Mar 2024
Human Alignment of Large Language Models through Online Preference Optimisation Daniele Calandriello Daniel Guo Rémi Munos Mark Rowland Yunhao Tang ... Michal Valko Tianqi Liu Rishabh Joshi Zeyu Zheng Bilal Piot 99 67 0 13 Mar 2024
ORPO: Monolithic Preference Optimization without Reference Model Jiwoo Hong Noah Lee James Thorne OSLM 100 266 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 102 94 0 07 Mar 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback Sayak Ray Chowdhury Anush Kini Nagarajan Natarajan 80 70 0 01 Mar 2024
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Arka Pal Deep Karkhanis Samuel Dooley Manley Roberts Siddartha Naidu Colin White OSLM 91 155 0 20 Feb 2024
Direct Preference Optimization with an Offset Afra Amini Tim Vieira Ryan Cotterell 127 66 0 16 Feb 2024
KTO: Model Alignment as Prospect Theoretic Optimization Kawin Ethayarajh Winnie Xu Niklas Muennighoff Dan Jurafsky Douwe Kiela 277 569 0 02 Feb 2024
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation Haoran Xu Amr Sharaf Yunmo Chen Weiting Tan Lingfeng Shen Benjamin Van Durme Kenton W. Murray Young Jin Kim ALM 118 264 0 16 Jan 2024
Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss Jing Xu Andrew Lee Sainbayar Sukhbaatar Jason Weston 70 97 0 27 Dec 2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking Jacob Eisenstein Chirag Nagpal Alekh Agarwal Ahmad Beirami Alex DÁmour ... Katherine Heller Stephen Pfohl Deepak Ramachandran Peter Shaw Jonathan Berant 98 100 0 14 Dec 2023
Nash Learning from Human Feedback Rémi Munos Michal Valko Daniele Calandriello M. G. Azar Mark Rowland ... Nikola Momchev Olivier Bachem D. Mankowitz Doina Precup Bilal Piot 116 147 0 01 Dec 2023
Fine-tuning Language Models for Factuality Katherine Tian Eric Mitchell Huaxiu Yao Christopher D. Manning Chelsea Finn KELM HILM SyDa 77 185 0 14 Nov 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 128 364 0 19 Oct 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 180 647 0 18 Oct 2023
A Long Way to Go: Investigating Length Correlations in RLHF Prasann Singhal Tanya Goyal Jiacheng Xu Greg Durrett 141 161 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 133 249 0 13 Sep 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 140 531 0 27 Jul 2023
Secrets of RLHF in Large Language Models Part I: PPO Rui Zheng Shihan Dou Songyang Gao Yuan Hua Wei Shen ... Hang Yan Tao Gui Qi Zhang Xipeng Qiu Xuanjing Huang ALM OffRL 117 174 0 11 Jul 2023
Preference Ranking Optimization for Human Alignment Feifan Song Yu Bowen Minghao Li Haiyang Yu Fei Huang Yongbin Li Houfeng Wang ALM 81 271 0 30 Jun 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources Yizhong Wang Hamish Ivison Pradeep Dasigi Jack Hessel Tushar Khot ... David Wadden Kelsey MacMillan Noah A. Smith Iz Beltagy Hannaneh Hajishirzi ALM ELM 113 393 0 07 Jun 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 103 157 0 07 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 389 4,169 0 29 May 2023
QLoRA: Efficient Finetuning of Quantized LLMs Tim Dettmers Artidoro Pagnoni Ari Holtzman Luke Zettlemoyer ALM 154 2,611 0 23 May 2023
SLiC-HF: Sequence Likelihood Calibration with Human Feedback Yao-Min Zhao Rishabh Joshi Tianqi Liu Misha Khalman Mohammad Saleh Peter J. Liu 86 307 0 17 May 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong Wei Xiong Deepanshu Goyal Yihan Zhang Winnie Chow Boyao Wang Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang ALM 98 468 0 13 Apr 2023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears Zheng Yuan Hongyi Yuan Chuanqi Tan Wei Wang Songfang Huang Feiran Huang ALM 167 384 0 11 Apr 2023
Pretraining Language Models with Human Preferences Tomasz Korbak Kejian Shi Angelica Chen Rasika Bhalerao C. L. Buckley Jason Phang Sam Bowman Ethan Perez ALM SyDa 91 230 0 16 Feb 2023
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 231 3,158 0 20 Oct 2022
News Summarization and Evaluation in the Era of GPT-3 Tanya Goyal Junyi Jessy Li Greg Durrett ELM 110 411 0 26 Sep 2022
OPT: Open Pre-trained Transformer Language Models Susan Zhang Stephen Roller Naman Goyal Mikel Artetxe Moya Chen ... Daniel Simig Punit Singh Koura Anjali Sridhar Tianlu Wang Luke Zettlemoyer VLM OSLM AI4CE 364 3,700 0 02 May 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 256 2,627 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 891 13,228 0 04 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 132 685 0 21 Feb 2022
WebGPT: Browser-assisted question-answering with human feedback Reiichiro Nakano Jacob Hilton S. Balaji Jeff Wu Ouyang Long ... Gretchen Krueger Kevin Button Matthew Knight B. Chess John Schulman ALM RALM 196 1,294 0 17 Dec 2021
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 502 10,526 0 17 Jun 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 173 753 0 18 Apr 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 259 2,192 0 02 Sep 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 185 2,993 0 09 Jun 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 92 467 0 21 Feb 2020