most citedOntology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets

2 citations · 4 across the 6 of their papers we have counts for

collaborators

5 papers

cs.LG20241 cited

SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation

Jinge Wu, Yunsoo Kim, Daqian Shi +3

Inspired by the success of large language models (LLMs), there is growing research interest in developing LLMs in the medical domain to assist clinicians. However, for hospitals, u…

cs.CV20241 cited

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Yunsoo Kim, Jinge Wu, Yusuf Abdulle +2

Recent advancements in Computer Assisted Diagnosis have shown promising performance in medical imaging tasks, particularly in chest X-ray analysis. However, the interaction between…

cs.CL2024

Hallucination Benchmark in Medical Visual Question Answering

Jinge Wu, Yunsoo Kim, Honghan Wu

The recent success of large language and vision models (LLVMs) on vision question answering (VQA), particularly their applications in medicine (Med-VQA), has shown a great potentia…

cs.CL20222 cited

Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets

Jinge Wu, Rowena Smith, Honghan Wu

Adverse Childhood Experiences (ACEs) are defined as a collection of highly stressful, and potentially traumatic, events or circumstances that occur throughout childhood and/or adol…

cs.CL2022

Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP

Jinge Wu, Rowena Smith, Honghan Wu

Adverse Childhood Experiences (ACEs) are defined as a collection of highly stressful, and potentially traumatic, events or circumstances that occur throughout childhood and/or adol…