利用大型语言模型在小样本学习中实现人口均衡的镜头选择

Nov, 2023

利用大型语言模型在小样本学习中实现人口均衡的镜头选择

Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models

Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze

TL;DR在本研究中，我们探讨了少样本学习对大型语言模型的公平性的影响，研究了不同的选择策略以及未来如何评估大型语言模型的公平性。

Abstract

Recently, work in NLP has shifted to few-shot (in-context) learning, with large language models (LLMs) performing well across a range of tasks. However, while fairness evaluations have become a standard for super