3 citations · 3 across the 2 of their papers we have counts for
3 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…
cs.HC2024★ 3 cited
Effectiveness of ChatGPT in explaining complex medical reports to patients
Mengxuan Sun, Ehud Reiter, Anne E Kiltie +4
Electronic health records contain detailed information about the medical condition of patients, but they are difficult for patients to understand even if they have access to them.…