36 citations · 69 across the 9 of their papers we have counts for
4 papers · 1 filter
Can Large Language Models Detect Misinformation in Scientific News Reporting?
Yupeng Cao, Aishwarya Muralidharan Nair, Nastaran Jamalipour Soofi +2
Scientific facts are often spun in the popular press with the intent to influence public opinion and action, as was evidenced during the COVID-19 pandemic. Automatic detection of m…
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective
Bingyang Wen, K. P. Subbalakshmi, Fan Yang
Attention mechanisms have recently demonstrated impressive performance on a range of NLP tasks, and attention scores are often used as a proxy for model explainability. However, th…
Learning Models for Suicide Prediction from Social Media Posts
Ning Wang, Fan Luo, Yuvraj Shivtare +4
We propose a deep learning architecture and test three other machine learning models to automatically detect individuals that will attempt suicide within (1) 30 days and (2) six mo…
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease
Ning Wang, Mingxuan Chen, K. P. Subbalakshmi
In this work, we propose three explainable deep learning architectures to automatically detect patients with Alzheimer`s disease based on their language abilities. The architecture…