Integrating Large Language Models in Causal Discovery: A Statistical
Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical
Causal Approach
In practical statistical causal discovery (SCD), embedding domain expert knowledge as constraints into the algorithm is widely accepted as significant for creating consistent meaningful causal models, despite the recognized challenges in systematic acquisition of the background knowledge. To overcome these challenges, this paper proposes a novel methodology for causal inference, …