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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.