8 citations · 12 across the 5 of their papers we have counts for
5 papers
Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
Minmin Zhang, Sina Aghaei, Soroush Saghafian
Large language models (LLMs) have shown remarkable in-context learning (ICL) capabilities, yet their potential for sequential decision-making remains underexplored. In this paper,…
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
Mohammad Zhalechian, Soroush Saghafian, Omar Robles
The United States Food and Drug Administration's (FDA's) 510(k) pathway allows manufacturers to gain medical device approval by demonstrating substantial equivalence to a legally m…
Effective Generative AI: The Human-Algorithm Centaur
Soroush Saghafian, Lihi Idan
Advanced analytics science methods have enabled combining the power of artificial and human intelligence, creating \textit{centaurs} that allow superior decision-making. Centaurs a…
Reevaluating the Role of Race and Ethnicity in Diabetes Screening
Madison Coots, Soroush Saghafian, David Kent +1
There is active debate over whether to consider patient race and ethnicity when estimating disease risk. By accounting for race and ethnicity, it is possible to improve the accurac…
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach
Soroush Saghafian
A main research goal in various studies is to use an observational data set and provide a new set of counterfactual guidelines that can yield causal improvements. Dynamic Treatment…