Skip to content

Learning to summarize from human feedback

Authors: Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul Christiano (2020)

arXiv: 2009.01325

Domains

Alignment

TLDR (English)

OpenAI's first application of RLHF to large language models (summarization), proving RLHF systematically better than SFT/MLE on human preferences. Direct predecessor to InstructGPT.

TLDR(中文)

OpenAI 把 RLHF 第一次用到大型语言模型(摘要),证明 RLHF 比 SFT/MLE 在人类偏好上系统性更好。是 InstructGPT 的直接前身。

Related Papers

Other papers in the same domain