Fine-Tuning Language Models with Advantage-Induced Policy Alignment

4 June 2023

Papers citing "Fine-Tuning Language Models with Advantage-Induced Policy Alignment"

6 / 6 papers shown

Title
SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety Paul Röttger Fabio Pernisi Bertie Vidgen Dirk Hovy ELM KELM 53 30 0 08 Apr 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF Banghua Zhu Michael I. Jordan Jiantao Jiao 21 22 0 29 Jan 2024
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 218 441 0 23 Aug 2022
Offline RL for Natural Language Generation with Implicit Language Q Learning Charles Burton Snell Ilya Kostrikov Yi Su Mengjiao Yang Sergey Levine OffRL 121 101 0 05 Jun 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 301 11,730 0 04 Mar 2022
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 275 1,561 0 18 Sep 2019