Causal Structure Learning Supervised by Large Language Model

1 code implementation • 20 Nov 2023 • Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Huanhuan Chen

Causal discovery from observational data is pivotal for deciphering complex relationships.

Causal Discovery Causal Inference +2

From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data

no code implementations • 29 Jun 2023 • Taiyu Ban, Lyvzhou Chen, Xiangyu Wang, Huanhuan Chen

In this paper, we advance the current research of LLM-driven causal discovery by proposing a novel framework that combines knowledge-based LLM causal analysis with data-driven causal structure learning.

Causal Discovery

Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge

no code implementations • 12 Jun 2023 • Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

LLM presents strong capability in discovering causal relationships between variables with the "text" inputs defining the investigated variables, leading to a potential new hierarchy and new ladder of causality.