Summary of Active Preference Optimization For Sample Efficient Rlhf, by Nirjhar Das et al.
Active Preference Optimization for Sample Efficient RLHFby Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray…
Summary of Exploration-driven Policy Optimization in Rlhf: Theoretical Insights on Efficient Data Utilization, by Yihan Du et al.
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilizationby Yihan Du, Anna Winnicki,…
Summary of Reward Generalization in Rlhf: a Topological Perspective, by Tianyi Qiu et al.
Reward Generalization in RLHF: A Topological Perspectiveby Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan,…
Summary of Rs-dpo: a Hybrid Rejection Sampling and Direct Preference Optimization Method For Alignment Of Large Language Models, by Saeed Khaki et al.
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language…
Summary of Inform: Mitigating Reward Hacking in Rlhf Via Information-theoretic Reward Modeling, by Yuchun Miao et al.
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modelingby Yuchun Miao, Sen Zhang, Liang…
Summary of Reinforcement Learning From Human Feedback with Active Queries, by Kaixuan Ji and Jiafan He and Quanquan Gu
Reinforcement Learning from Human Feedback with Active Queriesby Kaixuan Ji, Jiafan He, Quanquan GuFirst submitted…
Summary of Maxmin-rlhf: Alignment with Diverse Human Preferences, by Souradip Chakraborty et al.
MaxMin-RLHF: Alignment with Diverse Human Preferencesby Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong…
Summary of Online Iterative Reinforcement Learning From Human Feedback with General Preference Model, by Chenlu Ye et al.
Online Iterative Reinforcement Learning from Human Feedback with General Preference Modelby Chenlu Ye, Wei Xiong,…
Summary of Odin: Disentangled Reward Mitigates Hacking in Rlhf, by Lichang Chen et al.
ODIN: Disentangled Reward Mitigates Hacking in RLHFby Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen,…
Summary of How Do Large Language Models Navigate Conflicts Between Honesty and Helpfulness?, by Ryan Liu et al.
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?by Ryan Liu, Theodore R.…