Jingwen Gu

Orchestrating LLMs with Different Personalizations

2024 · arXiv (Cornell University)

This paper presents a novel approach to aligning large language models (LLMs) with individual human preferences, sometimes referred to as Reinforcement Learning from \textit{Personalized} Human Feedback (RLPHF). Given stated preferences along multiple dimensions, such as …