[HTML][HTML] A comprehensive survey of ChatGPT: advancements, applications, prospects, and challenges

A Nazir, Z Wang - Meta-radiology, 2023 - Elsevier
Abstract Large Language Models (LLMs) especially when combined with Generative Pre-
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …

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 …

Medagents: Large language models as collaborators for zero-shot medical reasoning

X Tang, A Zou, Z Zhang, Z Li, Y Zhao, X Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), despite their remarkable progress across various general
domains, encounter significant barriers in medicine and healthcare. This field faces unique …

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 …

Task-driven causal feature distillation: Towards trustworthy risk prediction

Z Chu, M Hu, Q Cui, L Li, S Li - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Since artificial intelligence has seen tremendous recent successes in many areas, it has
sparked great interest in its potential for trustworthy and interpretable risk prediction …