Prototypical Reward Network for Data-Efficient RLHF
Jan 1, 2024·,
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1 min read
Jinghan Zhang
Xiting Wang
Yiqiao Jin
Changyu Chen
Xinhao Zhang
Kunpeng Liu
Abstract
We propose a prototypical reward network that enables data-efficient reinforcement learning from human feedback (RLHF) for large language models.
Type
Publication
Annual Meeting of the Association for Computational Linguistics (ACL) 2024
Abstract
We propose a prototypical reward network that enables data-efficient reinforcement learning from human feedback (RLHF) for large language models.
Keywords
Reinforcement Learning, Human Feedback, Large Language Models, Data Efficiency
