1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities
Philippe J. Giabbanelli, Jose J. Padilla, Ameeta Agrawal
Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although…
Narrating Causal Graphs with Large Language Models
Atharva Phatak, Vijay K. Mago, Ameeta Agrawal +2
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability…