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Found 6 papers, 2 papers with code
Leveraging Mental Health Forums for User-level Depression Detection on Social Media
We leverage accounts of depression taken from this dataset to infuse domain-specific elements into our framework.
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection
Experiments conducted on four benchmark datasets for generative text classification show performance improvements in the range of 0. 5 to 100\% compared to previous state-of-the-art approaches.
A Closer Look at Bearing Fault Classification Approaches
Rolling bearing fault diagnosis has garnered increased attention in recent years owing to its presence in rotating machinery across various industries, and an ever increasing demand for efficient operations.
Generative AI Text Classification using Ensemble LLM Approaches
For the first task of distinguishing between AI and human generated text, our model ranked in fifth and thirteenth place (with macro $F1$ scores of 0. 733 and 0. 649) for English and Spanish texts, respectively.
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification
Sexism, a form of oppression based on one{'}s sex, manifests itself in numerous ways and causes enormous suffering.
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways.
