Papers by Daniel Haehn
Adversarial Text Generation using Large Language Models for Dementia Detection (2024.emnlp-main)
Copied to clipboard
| Challenge: | Large language models excel in text classification tasks, but they do not perform well with picture description. |
| Approach: | They propose an interpretable classification approach by Adversarial Text Generation (ATG) that could relate dementia detection with other tasks. |
| Outcome: | The proposed approach achieves 85% accuracy, >10% improvement over the previous methods. |