3 papers
cs.LG2026
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,…
cs.LG2026
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…
cs.AI2024
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…