AINeutralarXiv – CS AI · Mar 176/10
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Estimating Causal Effects of Text Interventions Leveraging LLMs
Researchers propose CausalDANN, a novel method using large language models to estimate causal effects of textual interventions in social systems. The approach addresses limitations of traditional causal inference methods when dealing with complex, high-dimensional textual data and can handle arbitrary text interventions even with observational data only.