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 …

Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

C Wang, X Liu, Y Yue, X Tang, T Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

[HTML][HTML] Differentiating ChatGPT-generated and human-written medical texts: quantitative study

W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang… - JMIR Medical …, 2023 - mededu.jmir.org
Background: Large language models, such as ChatGPT, are capable of generating
grammatically perfect and human-like text content, and a large number of ChatGPT …

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 …

Samaug: Point prompt augmentation for segment anything model

H Dai, C Ma, Z Yan, Z Liu, E Shi, Y Li, P Shu… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces SAMAug, a novel visual point augmentation method for the Segment
Anything Model (SAM) that enhances interactive image segmentation performance …

[HTML][HTML] 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 …

Ignore this title and HackAPrompt: Exposing systemic vulnerabilities of LLMs through a global prompt hacking competition

S Schulhoff, J Pinto, A Khan, LF Bouchard… - Proceedings of the …, 2023 - aclanthology.org
Abstract Large Language Models (LLMs) are increasingly being deployed in interactive
contexts that involve direct user engagement, such as chatbots and writing assistants. These …

Radonc-gpt: A large language model for radiation oncology

Z Liu, P Wang, Y Li, J Holmes, P Shu, L Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents RadOnc-GPT, a large language model specialized for radiation
oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset …

Holistic evaluation of gpt-4v for biomedical imaging

Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …