1 citations · 1 across the 5 of their papers we have counts for
5 papers
Scalable AI-based clinical communication training and automated assessment
Masum Hasan, Ron Epstein, Thomas Carroll +1
Poor clinical communication can delay care, contribute to errors, and harm patients, yet opportunities for repeated practice with feedback remain limited. Our prior randomized tria…
Inverse Turing Bench: Evaluating Language Models as Judges of Human vs. AI Dialogue
William Hager, Ishika Rathi, Masum Hasan +1
As AI systems integrate into online spaces, differentiating them from humans in conversations is increasingly important. We present Inverse Turing Bench, a benchmark that evaluates…
HAL: Inducing Human-likeness in LLMs with Alignment
Masum Hasan, Junjie Zhao, Ehsan Hoque
Aligning language models to qualitative behavioral traits, such as human-likeness, remains difficult because they are hard to define, measure, and optimize. As a result, improvemen…
AI Standardized Patient Improves Human Conversations in Advanced Cancer Care
Kurtis Haut, Masum Hasan, Thomas Carroll +3
Serious illness communication (SIC) in end-of-life care faces challenges such as emotional stress, cultural barriers, and balancing hope with honesty. Despite its importance, one o…
Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
Masum Hasan, Cengiz Ozel, Nina Long +5
Hand pose estimation plays a vital role in capturing subtle nonverbal cues essential for understanding human affect. However, collecting diverse, expressive real-world data remains…