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9 天
COAT:用LLM突破因果关系探索的全新框架
在2024年NeurIPS会议上,香港浸会大学联合卡内基梅隆大学和其他国际科研机构,发布了一项名为COAT(Causal representation On Assistance Tactics)的全新框架,旨在借助大型语言模型(LLMs)来有效寻找并解析现实世界中的因果关系。这一研究不仅推动了因果推理的理论前沿,也为处理高维非结构化数据如文本和图像提供了新的思路。 因果关系研究一直是科学探索的核 ...
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