Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …

Abstract Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with
the aim of creating machines capable of performing any intellectual task that humans can …

Text data augmentation is an effective strategy for overcoming the challenge of limited
sample sizes in many natural language processing (NLP) tasks. This challenge is especially …

Purpose We present the first study to investigate Large Language Models (LLMs) in
answering radiation oncology physics questions. Because popular exams like AP Physics …

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

This paper introduces Radiology-Llama2, a large language model specialized for radiology
through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 …

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 …

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural
language processing (NLP). LLMs have revolutionized a multitude of domains, and they …

This paper explores new frontiers in agricultural natural language processing (NLP) by
investigating the effectiveness of food-related text corpora for pretraining transformer-based …