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 …
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 …
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 …
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 …
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 …
Large language model unlearning has gained increasing attention due to its potential to mitigate security and privacy concerns. Current research predominantly focuses on Instance …
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 …
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 …
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 …