Seven LLMs were evaluated on two new causal modeling tasks; GPT-4-turbo and Llama3-70b were best at distilling causal variables, Mixtral-8x22b was best at detecting interaction entities, and performance depended strongly on domain.
Lego: A multi-agent collaborative framework with role-playing and iterative feedback for causality explanation generation
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Evaluating Large Language Models for Causal Modeling
Seven LLMs were evaluated on two new causal modeling tasks; GPT-4-turbo and Llama3-70b were best at distilling causal variables, Mixtral-8x22b was best at detecting interaction entities, and performance depended strongly on domain.