[HTML][HTML] Review of large vision models and visual prompt engineering
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 …
artificial general intelligence. As the development of large vision models progresses, the …
Large language models for robotics: Opportunities, challenges, and perspectives
Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …
increasingly integrated across various domains. Notably, in the realm of robot task planning …
Radiology-llama2: Best-in-class large language model for radiology
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 …
through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 …
Pharmacygpt: The ai pharmacist
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of
large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical …
large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical …
Evaluating large language models for radiology natural language processing
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 …
language processing (NLP). LLMs have revolutionized a multitude of domains, and they …
Artificial general intelligence for radiation oncology
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 …
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
Hierarchical semantic tree concept whitening for interpretable image classification
With the popularity of deep neural networks (DNNs), model interpretability is becoming a
critical concern. Many approaches have been developed to tackle the problem through post …
critical concern. Many approaches have been developed to tackle the problem through post …
Holistic evaluation of gpt-4v for biomedical imaging
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report
Purpose: To introduce the concept of using large language models (LLMs) to re-label
structure names in accordance with the American Association of Physicists in Medicine …
structure names in accordance with the American Association of Physicists in Medicine …
Benchmarking a Foundation Large Language Model on its Ability to Relabel Structure Names in Accordance With the American Association of Physicists in Medicine …
Purpose To introduce the concept of using large language models (LLMs) to relabel
structure names in accordance with the American Association of Physicists in Medicine Task …
structure names in accordance with the American Association of Physicists in Medicine Task …