Can Large Language Models Infer Causation from Correlation?

arXiv:2306.05836v3 Announce Type: replace
Abstract: Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted much interest in the recent years, existing causal inference datasets in NLP primarily rely on discovering causality from empirical knowledge (e.g., commonsense knowledge). In this work, we propose the first benchmark dataset to test the pure causal inference skills of large language models (LLMs). Specifically, we formulate a novel task Corr2Cause, which takes a set of correlational statements …

arxiv causation correlation cs.ai cs.cl cs.lg language language models large language large language models type