Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …

News impact analysis has become a common task conducted by finance researchers, which
involves reading and selecting news articles based on themes and sentiments, pairing news …

ISTORICALLY, societies have always established norms of coexistence that impose limits
on individual rights. This was the case with the fundamental right to freedom of expression …

Introduction The utilization of social media presents a promising avenue for the prevention
and management of diabetes. To effectively cater to the diabetes-related knowledge …

Effective learning schemes such as fine-tuning, zero-shot, and few-shot learning, have been
widely used to obtain considerable performance with only a handful of annotated training …

Recent advancements in large language models (LLMs) have opened new possibilities for
developing conversational agents (CAs) in various subfields of mental healthcare. However …

Recently, large language models have gained considerable interest due to their impressive
performance on different tasks. OpenAl's ChatGPT is a revolutionary language model that …

RESUMO O uso massivo de Inteligência Artificial na moderação de conteúdo na internet é
uma realidade dos tempos atuais. No entanto, isso levanta uma série de questionamentos …

One of the recent developments in deep learning is generalized zero-shot learning (GZSL),
which aims to recognize objects from both seen and unseen classes, when only the labeled …