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- Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract)1
An end-to-end conceptual framework for model opti- mization in complex tasks is proposed and experiments support the efficacy of this traditional yet novel framework, achieving the highest accuracy and AUROC.
- 1
- Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling1
This study proposes an end-to-end conceptual framework for model optimization in complex tasks, and experiments support the efficacy of this traditional yet novel framework, achieving the highest accuracy and AUROC.
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