Securing large language models: Addressing bias, misinformation, and prompt attacks

B Peng, K Chen, M Li, P Feng, Z Bi, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …

ChatGPT: The end of online exam integrity?

T Susnjak, TR McIntosh - Education Sciences, 2024 - mdpi.com
This study addresses the significant challenge posed by the use of Large Language Models
(LLMs) such as ChatGPT on the integrity of online examinations, focusing on how these …

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey

Q Lin, Y Zhu, X Mei, L Huang, J Ma, K He, Z Peng… - Information …, 2024 - Elsevier
The rapid development of artificial intelligence has constantly reshaped the field of
intelligent healthcare and medicine. As a vital technology, multimodal learning has …

[PDF][PDF] Comparative evaluation of commercial large language models on promptbench: An english and chinese perspective

S Wang, Q Ouyang, B Wang - 2024 - scholar.archive.org
This study embarks on an exploration of the performance disparities observed between
English and Chinese in large language models (LLMs), motivated by the growing need for …

From text to multimodality: Exploring the evolution and impact of large language models in medical practice

Q Niu, K Chen, M Li, P Feng, Z Bi, LKQ Yan… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have rapidly evolved from text-based systems to
multimodal platforms, significantly impacting various sectors including healthcare. This …

Fact-aware multimodal retrieval augmentation for accurate medical radiology report generation

L Sun, J Zhao, M Han, C Xiong - arXiv preprint arXiv:2407.15268, 2024 - arxiv.org
Multimodal foundation models hold significant potential for automating radiology report
generation, thereby assisting clinicians in diagnosing cardiac diseases. However, generated …

Gemini-the most powerful LLM: Myth or Truth

R Islam, I Ahmed - 2024 5th Information Communication …, 2024 - ieeexplore.ieee.org
Gemini models excel in various tasks including image generation and interpretation, video
understanding, and solving mathematical problems, among others. The Vertex AI Gemini …

Virtual agents for alcohol use counseling: Exploring llm-powered motivational interviewing

I Steenstra, F Nouraei, M Arjmand… - Proceedings of the ACM …, 2024 - dl.acm.org
We introduce a novel application of large language models (LLMs) in developing a virtual
counselor capable of conducting motivational interviewing (MI) for alcohol use counseling …

Errorradar: Benchmarking complex mathematical reasoning of multimodal large language models via error detection

Y Yan, S Wang, J Huo, H Li, B Li, J Su, X Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their
potential to revolutionize artificial intelligence is particularly promising, especially in …

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models

L Fan, W Hua, X Li, K Zhu, M Jin, L Li, H Ling… - arXiv preprint arXiv …, 2024 - arxiv.org
Understanding the reasoning capabilities of Multimodal Large Language Models (MLLMs) is
an important area of research. In this study, we introduce a dynamic benchmark …