Hong Yu

This article reviews LLMs' potential in predicting mental health issues from online text.

GPT-4V shows promise in analyzing medical images for improved diagnosis.

Using language models to improve identification of Alzheimer's signs in clinical records.

Evaluating LLMs for their ability to grasp various aspects of context.

HQA-Attack creates high-quality adversarial examples in text while preserving meaning.

This study analyzes Twitter data to assess mental health in communities.

ReadCtrl allows language models to better match text complexity to reader abilities.

A new method enhances training efficiency using example difficulty assessment.

Making health records easier to understand helps patients engage in their care.