Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
Published in SSRN Electronic Journal, 2024
I developed and tested a prompting strategies for translating dynamic hypotheses (text) into causal loop diagrams (CLDs) using large language models (LLMs). With curated prompting, LLMs can generate CLDs comparable in quality to expert-built ones—dramatically speeding up the modeling process and lowering the barrier for novice system dynamicists.
Recommended citation: Liu, N. G., keith, D. (2024). Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4906094
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