Large language models (LLMs) are artificial intelligence models trained on vast text data to
generate humanlike outputs. They have been applied to various tasks in health care …

Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

The introduction of ChatGPT has led to a significant increase in the utilization of Large
Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on …

Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

Background: Large language models, such as ChatGPT, are capable of generating
grammatically perfect and human-like text content, and a large number of ChatGPT …

Large Language Models (LLMs) have introduced a new era of proficiency in comprehending
complex healthcare and biomedical topics. However, there is a noticeable lack of models in …

This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …

This paper introduces SAMAug, a novel visual point augmentation method for the Segment
Anything Model (SAM) that enhances interactive image segmentation performance …