Large language models (LLMs) have demonstrated an impressive ability to generate codes
on competitive programming tasks. However, with limited sample numbers, LLMs still suffer …

In the past decade, thanks to the powerfulness of deep-learning techniques, we have
witnessed a whole new era of automated code generation. To sort out developments, we …

The brain tumor segmentation task with different domains remains a major challenge
because tumors of different grades and severities may show different distributions, limiting …

Abstract Few-shot Aspect Category Sentiment Analysis (ACSA) is a crucial task for aspect-
based sentiment analysis, which aims to detect sentiment polarity for a given aspect …

The objective of this study is to develop a global terrain and altitude map by combining a
digital twin model and deep learning technique on Florida's coastal area. Utilizing USGS …

Resumo Natural Language Processing for Low Resource Languages is challenging. The
lack of large-scale datasets affects the performance of data-hungry algorithms. To overcome …

Electronic commerce, or e-commerce, is the buying and selling of goods and services, or the
transmitting of funds or data online. E-commerce platforms come in many kinds, with global …