Background Large language models (LLMs) have shown remarkable capabilities in natural
language processing (NLP), especially in domains where labeled data are scarce or …

Large language models (LLMs) are a specialized type of generative artificial intelligence (AI)
focused on generating natural language text. These models are developed through …

With the increasing availability of rich, longitudinal, real-world clinical data recorded in
electronic health records (EHRs) for millions of patients, there is a growing interest in …

Recent large language models (LLMs) like ChatGPT and LLaMA have shown great promise
in many AI applications. However, their performance on medical tasks is suboptimal and can …

Abstract Motivation Large Language Models (LLMs) have the potential to revolutionize the
field of Natural Language Processing, excelling not only in text generation and reasoning …

Introduction Recognizing and extracting key information from textual data plays an important
role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed …

This study investigates the prevalence of violent language on incels. is. It evaluates GPT
models (GPT-3.5 and GPT-4) for content analysis in social sciences, focusing on the impact …

Objectives Active learning (AL) has rarely integrated diversity-based and uncertainty-based
strategies into a dynamic sampling framework for clinical named entity recognition (NER) …

Objective Although supervised machine learning is popular for information extraction from
clinical notes, creating large annotated datasets requires extensive domain expertise and is …

Background Malnutrition is a prevalent issue in aged care facilities (RACFs), leading to
adverse health outcomes. The ability to efficiently extract key clinical information from a large …