A prompting strategy that walks LLMs through the steps of the PC algorithm improves their accuracy at inferring causal relations from correlation statements on the Corr2Cause benchmark.
Large language models for constrained-based causal discovery
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Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
A prompting strategy that walks LLMs through the steps of the PC algorithm improves their accuracy at inferring causal relations from correlation statements on the Corr2Cause benchmark.