Large models can play important roles in many domains. Agriculture is another key factor
affecting the lives of people around the world. It provides food, fabric, and coal for humanity …

Significant accomplishments in many agricultural applications during the past decade attest
to the fast progress and use of deep learning and machine learning methods in agricultural …

The exponential growth of scientific publications increases the effort required to identify
relevant articles. Moreover, the scale of studies is a frequent barrier to research as the …

Motivation Significant progress has been achieved in biomedical text mining using deep
learning methods, which rely heavily on large amounts of high-quality data annotated by …

ChatGPT has gained remarkable traction since its inception in November 2022. However, it
faces limitations in generating inaccurate responses, ignoring existing guidelines, and …

This paper provides a comprehensive assessment of GPT-4's (Generative Pre-trained
Transformer–4) application in the domain of medicine, highlighting its advancements …

Supervised Natural Language Processing (NLP) models can achieve high accuracy, but
they often require a significant amount of annotated data for training, which can be …

Survey data can contain a high number of features while having a comparatively low
quantity of examples. Machine learning models that attempt to predict outcomes from survey …

Survey data collected from human subjects can contain a high number of features while
having a comparatively low quantity of examples. Machine learning models that attempt to …

Large language models (LLMs) are increasingly used for clinical Natural Language
Processing (NLP) applications but are considered black-box models with little explanation …