The military has introduced a new classification policy for confidential information as part of its efforts to strengthen ...

Abstract: Text classification is a classical task in natural language processing. Prior traditional text classification methods rely on manually extracted features to a great extent, which are easily ...

Abstract: Attention mechanisms are now a mainstay architecture in neural networks and improve the performance of biomedical text classification tasks. In particular, models that perform automated ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

This repository implements a prompt tuning model for hierarchical text classification. This work has been accepted as the long paper HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text ...

Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...

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People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

In a recent post on X, Elon Musk stated that people using Tesla's Full Self-Driving (Supervised) system will soon be able to text and drive. However, experts expressed concerns about the legality and ...