3 papers
cs.HC2025
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…
cs.CL2024
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…
cs.AI2024
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…