探究大型编程语言模型的因果推理能力中的IF魔术

May, 2023

探究大型编程语言模型的因果推理能力中的IF魔术

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code

Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao

TL;DR研究人员比较了基于文本和代码的大型语言模型对因果推理的能力，结果表明，相较于只针对文本的模型，基于代码编写的模型在因果推理方面更为出色。

Abstract

causal reasoning, the ability to identify cause-and-effect relationship, is crucial in human thinking. Although large language models (LLMs) succeed in many nlp tasks, it is still challenging for them to conduct