Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization

23 February 2024

Papers citing "Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization"

6 / 6 papers shown

Title
Aligning Large Language Models through Synthetic Feedback Sungdong Kim Sanghwan Bae Jamin Shin Soyoung Kang Donghyun Kwak Kang Min Yoo Minjoon Seo ALM SyDa 78 67 0 23 May 2023
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 227 502 0 28 Sep 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 313 11,953 0 04 Mar 2022
$Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information$ Understanding Dataset Difficulty with $\mathcal{V}$ -Usable Information Kawin Ethayarajh Yejin Choi Swabha Swayamdipta 164 157 0 16 Oct 2021
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 127 111 0 14 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 280 1,595 0 18 Sep 2019