Sina J. Semnani, Violet Z. Yao, Heidi C. Zhang, Monica S. Lam
TL;DR通过信息检索和人-机混合评价方法,开发基于Large Language Models的聊天机器人WikiChat,并在多次实验中验证其在提供真实性高、相关、非重复和信息性回应等方面的出色性能,特别是在最近的和少数派话题方面的性能超越了其他强大的对比算法。
Abstract
Despite recent advances in large language models (LLMs), users still cannot trust the information provided in their responses. LLMs cannot speak accurately about events that occurred after their training, which are often topics of great interest to users, and, as we show in this paper,