N Devharish

Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery

Current causal discovery methods using Large Language Models (LLMs) often rely on pairwise or iterative strategies, which fail to capture global dependencies, amplify local biases, and reduce overall accuracy. This work introduces a unified framework for one-step full causal graph discovery through: