Fine-Tuning Language Models with Reward Learning on Policy

Fine-Tuning Language Models with Reward Learning on Policy

28 March 2024

Papers citing "Fine-Tuning Language Models with Reward Learning on Policy"

8 / 8 papers shown

Title
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Yunhong Min Daehyeon Choi Kyeongmin Yeo Jihyun Lee Minhyuk Sung 54 0 0 28 Mar 2025
Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications Feng Ma Xuben Wang Chen Chen Xiao-bin Xu Xin-ping Yan 151 0 0 23 Feb 2025
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
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 229 574 0 03 May 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,273 0 21 Mar 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 339 12,003 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,661 0 15 Oct 2021
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 298 1,610 0 18 Sep 2019