[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Towards an understanding of large language models in software engineering tasks

Z Zheng, K Ning, Q Zhong, J Chen, W Chen… - Empirical Software …, 2025 - Springer
Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

Tptu: Task planning and tool usage of large language model-based ai agents

J Ruan, Y Chen, B Zhang, Z Xu, T Bao… - … Models for Decision …, 2023 - openreview.net
With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …

VistaGPT: Generative parallel transformers for vehicles with intelligent systems for transport automation

Y Tian, X Li, H Zhang, C Zhao, B Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Diverse transport demands have resulted in the wide existence of heterogeneous vehicle
automation systems. While these systems have demonstrated effectiveness, they also pose …

On protecting the data privacy of large language models (llms): A survey

B Yan, K Li, M Xu, Y Dong, Y Zhang, Z Ren… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark

D Chen, R Chen, S Zhang, Y Liu, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Multimodal Large Language Models (MLLMs) have gained significant attention recently,
showing remarkable potential in artificial general intelligence. However, assessing the utility …

Lmeye: An interactive perception network for large language models

Y Li, B Hu, X Chen, L Ma, Y Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Current efficient approaches to building Multimodal Large Language Models (MLLMs)
mainly incorporate visual information into LLMs with a simple visual mapping network such …

Large language model-based agents for software engineering: A survey

J Liu, K Wang, Y Chen, X Peng, Z Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models

JP Zhu, P Cai, K Xu, L Li, Y Sun, S Zhou, H Su… - Proceedings of the …, 2024 - dl.acm.org
With the growing significance of data analysis, several studies aim to provide precise
answers to users' natural language questions from tables, a task referred to as tabular …

AI-native interconnect framework for integration of large language model technologies in 6G systems

S Tarkoma, R Morabito, J Sauvola - arXiv preprint arXiv:2311.05842, 2023 - arxiv.org
The evolution towards 6G architecture promises a transformative shift in communication
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …