Automated Social Science: Language Models as Scientist and Subjects
收藏NBER2024-04-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w32381
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资源简介：
We present an approach for automatically generating and testing, in silico, social scientific hypotheses. This automation is made possible by recent advances in large language models (LLM), but the key feature of the approach is the use of structural causal models. Structural causal models provide a
提供机构：
美国国家经济研究局
创建时间：
2024-04-01
