Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar
TL;DR采用检索增强式思维过程(Retrieval-Augmented Thought Process)解决大型语言模型(Large Language Models)在隐私、幻觉和长上下文处理方面的挑战,从而在处理私人数据的问答任务中实现了与现有上下文检索增强语言模型相比50%的提升。
Abstract
large language models (LLMs) have demonstrated their strong ability to assist people and show "sparks of intelligence". However, several open challenges hinder their wider application: such as concerns over privacy