6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.AI2024
Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
David Oniani, Jordan Hilsman, Chengxi Zang +4
A drug molecule is a substance that changes the organism's mental or physical state. Every approved drug has an indication, which refers to the therapeutic use of that drug for tre…
cs.CY2023★ 6 cited
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence
David Oniani, Jordan Hilsman, Yifan Peng +5
In 2020, the U.S. Department of Defense officially disclosed a set of ethical principles to guide the use of Artificial Intelligence (AI) technologies on future battlefields. Despi…
cs.CL2023
Large Language Models Vote: Prompting for Rare Disease Identification
David Oniani, Jordan Hilsman, Hang Dong +3
The emergence of generative Large Language Models (LLMs) emphasizes the need for accurate and efficient prompting approaches. LLMs are often applied in Few-Shot Learning (FSL) cont…