1 citations · 1 across the 3 of their papers we have counts for
4 papers
XplainAct: Visualization for Personalized Intervention Insights
Yanming Zhang, Krishnakumar Hegde, Klaus Mueller
Causality helps people reason about and understand complex systems, particularly through what-if analyses that explore how interventions might alter outcomes. Although existing met…
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
Grace Sng, Yanming Zhang, Klaus Mueller
The increasing use of large language models (LLMs) in causal discovery as a substitute for human domain experts highlights the need for optimal model selection. This paper presents…
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
Yanming Zhang, Akshith Kota, Eric Papenhausen +1
Causal networks are widely used in many fields to model the complex relationships between variables. A recent approach has sought to construct causal networks by leveraging the wis…
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
Yanming Zhang, Brette Fitzgibbon, Dino Garofolo +3
Causal networks are widely used in many fields, including epidemiology, social science, medicine, and engineering, to model the complex relationships between variables. While it ca…