ALCM: Autonomous LLM-Augmented Causal Discovery Framework

arXiv:2405.01744v1 Announce Type: new
Abstract: To perform effective causal inference in high-dimensional datasets, initiating the process with causal discovery is imperative, wherein a causal graph is generated based on observational data. However, obtaining a complete and accurate causal graph poses a formidable challenge, recognized as an NP-hard problem. Recently, the advent of Large Language Models (LLMs) has ushered in a new era, indicating their emergent capabilities and widespread applicability in facilitating causal reasoning across diverse domains, such as medicine, finance, …

abstract arxiv autonomous causal causal inference challenge cs.ai cs.cl cs.lg data datasets discovery framework generated graph however inference language large language llm np-hard process stat.me type