3 papers
cs.AI2025
Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization
Philippe J. Giabbanelli, Ameeta Agrawal
Modeling & Simulation (M&S) approaches such as agent-based models hold significant potential to support decision-making activities in health, with recent examples including the ado…
cs.CL2025
Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
Martha O. Dimgba, Sharon Oba, Ameeta Agrawal +1
Language models have been shown to propagate social bias through their output, particularly in the representation of gender and ethnicity. This paper investigates gender and ethnic…
cs.SE2025
From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools
Philippe J. Giabbanelli, John Beverley, Istvan David +1
Large Language Models (LLMs) offer transformative potential for Modeling & Simulation (M&S) through natural language interfaces that simplify workflows. However, over-reliance risk…