Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

30 August 2023

Papers citing "Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models"

7 / 7 papers shown

Title
Inverse Constitutional AI: Compressing Preferences into Principles Arduin Findeis Timo Kaufmann Eyke Hüllermeier Samuel Albanie Robert Mullins SyDa 41 9 0 02 Jun 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards Haoxiang Wang Yong Lin Wei Xiong Rui Yang Shizhe Diao Shuang Qiu Han Zhao Tong Zhang 40 70 0 28 Feb 2024
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 157 576 0 06 Apr 2023
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels Weiyan Shi Emily Dinan Kurt Shuster Jason Weston Jing Xu 44 19 0 28 Oct 2022
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 297 3,163 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 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022