[HTML][HTML] Review of large vision models and visual prompt engineering

J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai… - Meta-Radiology, 2023 - Elsevier
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 …

Evaluation of openai o1: Opportunities and challenges of agi

T Zhong, Z Liu, Y Pan, Y Zhang, Y Zhou… - arxiv preprint arxiv …, 2024 - arxiv.org
This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …

Multilingual jailbreak challenges in large language models

Y Deng, W Zhang, SJ Pan, L Bing - arxiv preprint arxiv:2310.06474, 2023 - arxiv.org
While large language models (LLMs) exhibit remarkable capabilities across a wide range of
tasks, they pose potential safety concerns, such as the``jailbreak''problem, wherein …

Multimodality of ai for education: Towards artificial general intelligence

GG Lee, L Shi, E Latif, Y Gao, A Bewersdorff… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …

Radiology-llama2: Best-in-class large language model for radiology

Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Evaluating large language models for radiology natural language processing

Z Liu, T Zhong, Y Li, Y Zhang, Y Pan, Z Zhao… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Large language models for robotics: Opportunities, challenges, and perspectives

J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

Understanding llms: A comprehensive overview from training to inference

Y Liu, H He, T Han, X Zhang, M Liu, J Tian… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Artificial general intelligence for radiation oncology

C Liu, Z Liu, J Holmes, L Zhang, L Zhang, Y Ding… - Meta-radiology, 2023 - Elsevier
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …

Revolutionizing finance with llms: An overview of applications and insights

H Zhao, Z Liu, Z Wu, Y Li, T Yang, P Shu, S Xu… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …