Joshua Strong — accepted AI-conference papers

2026

Identity-Free Deferral For Unseen Experts

Joshua Strong, Pramit Saha, Yasin Ibrahim, Cheng Ouyang, Alison Noble

ICLR 2026poster

Learning to Defer (L2D) improves AI reliability in decision-critical environments, such as healthcare, by training a model to either make its own prediction or delerejector the decision to a human expert. A key challenge is adapting to unseen experts: those who were not involved during the system's…

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2025

Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models

Joshua Strong, Qianhui Men, J. Alison Noble

AAAI 2025technical

Large language models (LLMs) offer a valuable technology for various applications in healthcare. However, their tendency to hallucinate and the existing reliance on proprietary systems pose challenges in environments concerning critical decision-making and strict data privacy regulations, such as he…

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