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Sep, 2024
大型语言模型的因果推断:综述
Causal Inference with Large Language Model: A Survey
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Jing Ma
TL;DR
本研究探讨了因果推断在医学和经济学等多个领域的挑战,并指出传统方法的局限性。通过评估大型语言模型(LLMs)在因果推断任务中的应用,本文总结了主要的因果问题和方法,并讨论了其潜在影响,指出LLMs在推动因果推断方法学进步中的重要角色。
Abstract
Causal Inference
has been a pivotal challenge across diverse domains such as medicine and economics, demanding a complicated integration of human knowledge, mathematical reasoning, and data mining capabilities. Recent advancements in
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