Summary of Filtered Direct Preference Optimization, by Tetsuro Morimura et al.
Filtered Direct Preference Optimizationby Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito AriuFirst submitted…
Summary of Social Choice Should Guide Ai Alignment in Dealing with Diverse Human Feedback, by Vincent Conitzer et al.
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedbackby Vincent Conitzer, Rachel…
Summary of Rlhf Deciphered: a Critical Analysis Of Reinforcement Learning From Human Feedback For Llms, by Shreyas Chaudhari et al.
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMsby Shreyas Chaudhari,…
Summary of Investigating Regularization Of Self-play Language Models, by Reda Alami et al.
Investigating Regularization of Self-Play Language Modelsby Reda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine…
Summary of Direct Nash Optimization: Teaching Language Models to Self-improve with General Preferences, by Corby Rosset et al.
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferencesby Corby Rosset, Ching-An Cheng,…
Summary of Fine-tuning Language Models with Reward Learning on Policy, by Hao Lang et al.
Fine-Tuning Language Models with Reward Learning on Policyby Hao Lang, Fei Huang, Yongbin LiFirst submitted…
Summary of The N+ Implementation Details Of Rlhf with Ppo: a Case Study on Tl;dr Summarization, by Shengyi Huang et al.
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarizationby Shengyi…
Summary of Parameter Efficient Reinforcement Learning From Human Feedback, by Hakim Sidahmed and Samrat Phatale and Alex Hutcheson and Zhuonan Lin and Zhang Chen and Zac Yu and Jarvis Jin and Simral Chaudhary and Roman Komarytsia and Christiane Ahlheim and Yonghao Zhu and Bowen Li and Saravanan Ganesh and Bill Byrne and Jessica Hoffmann and Hassan Mansoor and Wei Li and Abhinav Rastogi and Lucas Dixon
Parameter Efficient Reinforcement Learning from Human Feedbackby Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin,…
Summary of Hrlaif: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From Ai Feedback, by Ang Li et al.
HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedbackby Ang Li,…
Summary of Alarm: Align Language Models Via Hierarchical Rewards Modeling, by Yuhang Lai et al.
ALaRM: Align Language Models via Hierarchical Rewards Modelingby Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing…