2 papers
cs.AI2024
Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain
Jaime Sevilla, Nikolay Babakov, Ehud Reiter +1
In this paper, we propose a model for building natural language explanations for Bayesian Network Reasoning in terms of factor arguments, which are argumentation graphs of flowing…
cs.CL2024
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis
Nikolay Babakov, Ehud Reiter, Alberto Bugarin
In this work, we propose a novel method for Bayesian Networks (BNs) structure elicitation that is based on the initialization of several LLMs with different experiences, independen…