[HTML][HTML] The application of large language models in medicine: A scoping review

X Meng, X Yan, K Zhang, D Liu, X Cui, Y Yang… - Iscience, 2024 - cell.com
This study systematically reviewed the application of large language models (LLMs) in
medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT …

Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models

W Zou, R Geng, B Wang, J Jia - arXiv preprint arXiv:2402.07867, 2024 - arxiv.org
Large language models (LLMs) have achieved remarkable success due to their exceptional
generative capabilities. Despite their success, they also have inherent limitations such as a …

Ditto: Diffusion-inspired temporal transformer operator

O Ovadia, E Turkel, A Kahana… - arXiv preprint arXiv …, 2023 - arxiv.org
Solving partial differential equations (PDEs) using a data-driven approach has become
increasingly common. The recent development of the operator learning paradigm has …

Examining how the large language models impact the conceptual design with human designers: A comparative case study

Z Zhou, J Li, Z Zhang, J Yu, H Duh - International Journal of Human …, 2024 - Taylor & Francis
Advances in artificial intelligence have led to breakthroughs in large language models
(LLMs), like ChatGPT, opening up exciting possibilities for conceptual design. However, it's …

Learning agent-based modeling with LLM companions: Experiences of novices and experts using ChatGPT & NetLogo chat

J Chen, X Lu, Y Du, M Rejtig, R Bagley… - Proceedings of the CHI …, 2024 - dl.acm.org
Large Language Models (LLMs) have the potential to fundamentally change the way people
engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in …

Towards a science exocortex

KG Yager - Digital Discovery, 2024 - pubs.rsc.org
Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with
generative AI enabling automation of text analysis, text generation, and simple decision …

scelmo: Embeddings from language models are good learners for single-cell data analysis

T Liu, T Chen, W Zheng, X Luo, H Zhao - bioRxiv, 2023 - biorxiv.org
Abstract Various Foundation Models (FMs) have been built based on the pre-training and
fine-tuning framework to analyze single-cell data with different degrees of success. In this …

Poisoned langchain: Jailbreak llms by langchain

Z Wang, J Liu, S Zhang, Y Yang - arXiv preprint arXiv:2406.18122, 2024 - arxiv.org
With the development of natural language processing (NLP), large language models (LLMs)
are becoming increasingly popular. LLMs are integrating more into everyday life, raising …

Rag-thief: Scalable extraction of private data from retrieval-augmented generation applications with agent-based attacks

C Jiang, X Pan, G Hong, C Bao, M Yang - arXiv preprint arXiv:2411.14110, 2024 - arxiv.org
While large language models (LLMs) have achieved notable success in generative tasks,
they still face limitations, such as lacking up-to-date knowledge and producing …

[HTML][HTML] From text to tech: Shaping the future of physics-based simulations with AI-driven generative models

A Alexiadis, B Ghiassi - Results in Engineering, 2024 - Elsevier
This micro-article introduces a method for integrating Large Language Models with
geometry/mesh generation software and multiphysics solvers, aimed at streamlining physics …