Tag Archives: dementia

Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang Detecting dementia via picture description is a challenging text classification task where powerful Large Language Models (LLMs) have not yet outperformed Pre-trained Language Models (PLMs), with previous studies achieving notable accuracy (>80%). The difficulty lies in the limited explicit features for detection, making itContinue reading “Adversarial Text Generation using Large Language Models for Dementia Detection (EMNLP 2024)”