In recent years, there has been a significant increase in the design of neural network models
for solving math word problems (MWPs). These neural solvers have been designed with …

The emergence of Generative Artificial Intelligence (G-AI) has changed the landscape of
creative arts with its power to compose novel artwork and thus brought ethical concerns …

This paper explores the application of inferring software architecture rules from examples
using Machine Learning (ML). We investigate different methods from Inductive Rule …

Brand hate is a complex feeling that is not easy for companies to recognize. Mednini and
Turki (2022) have confirmed that the hate can originate from genuine brand haters or an …

Generative AI has received much attention in the image and language domains, with the
transformer neural network continuing to dominate the state of the art. Application of these …

In the field of object detection, the adversarial attack method based on generative
adversarial network efficiently generates adversarial examples, thereby significantly …

Generative pre-trained transformer (GPT) technology has become a revolutionary deep-
learning tool for enabling businesses to generate coherent and contextually relevant text …

Background The internet is a common source of health information for patients. Interactive
online artificial intelligence (AI) may be a more reliable source of health-related information …

The task of accurate and efficient language translation is an extremely important information
processing task. Machine learning enabled and automated translation that is accurate and …

In this study, we examine the potential of language models for natural language processing
(NLP)-based recommendations, with a distinct focus on predicting users' next product …