Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Chen, L Li, H Zhu - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancements in large language models (LLMs) have opened new avenues
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …

Privacy preserving prompt engineering: A survey

K Edemacu, X Wu - arXiv preprint arXiv:2404.06001, 2024 - arxiv.org
Pre-trained language models (PLMs) have demonstrated significant proficiency in solving a
wide range of general natural language processing (NLP) tasks. Researchers have …

A survey on the memory mechanism of large language model based agents

Z Zhang, X Bo, C Ma, R Li, X Chen, Q Dai, J Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …

A comparative analysis of large language models to evaluate robustness and reliability in adversarial conditions

T Goto, K Ono, A Morita - Authorea Preprints, 2024 - techrxiv.org
This study went on a comprehensive evaluation of four prominent Large Language Models
(LLMs)-Google Gemini, Mistral 8x7B, ChatGPT-4, and Microsoft Phi-1.5-to assess their …

Causal Evaluation of Language Models

S Chen, B Peng, M Chen, R Wang, M Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Causal reasoning is viewed as crucial for achieving human-level machine intelligence.
Recent advances in language models have expanded the horizons of artificial intelligence …

Rethinking Entity-level Unlearning for Large Language Models

W Ma, X Feng, W Zhong, L Huang, Y Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language model unlearning has gained increasing attention due to its potential to
mitigate security and privacy concerns. Current research predominantly focuses on Instance …

[HTML][HTML] The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for …

S Pashangpour, G Nejat - Robotics, 2024 - mdpi.com
The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …

Evaluating the cybersecurity robustness of commercial llms against adversarial prompts: A promptbench analysis

T Goto, K Ono, A Morita - Authorea Preprints, 2024 - techrxiv.org
This study presents a comprehensive evaluation of the cybersecurity robustness of five
leading Large Language Models (LLMs)-ChatGPT-4, Google Gemini, Anthropic Claude …

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

L Liu, X Yang, J Lei, X Liu, Y Shen, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …