Security and privacy challenges of large language models: A survey

BC Das, MH Amini, Y Wu - ACM Computing Surveys, 2025‏ - dl.acm.org
Large language models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …

[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023‏ - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Can llm-generated misinformation be detected?

C Chen, K Shu - arxiv preprint arxiv:2309.13788, 2023‏ - arxiv.org
The advent of Large Language Models (LLMs) has made a transformative impact. However,
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024‏ - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Auggpt: Leveraging chatgpt for text data augmentation

H Dai, Z Liu, W Liao, X Huang, Y Cao… - … Transactions on Big …, 2025‏ - ieeexplore.ieee.org
Text data augmentation is an effective strategy for overcoming the challenge of limited
sample sizes in many natural language processing (NLP) tasks. This challenge is especially …

Jailbreakbench: An open robustness benchmark for jailbreaking large language models

P Chao, E Debenedetti, A Robey… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Jailbreak attacks cause large language models (LLMs) to generate harmful, unethical, or
otherwise objectionable content. Evaluating these attacks presents a number of challenges …

Black-box access is insufficient for rigorous ai audits

S Casper, C Ezell, C Siegmann, N Kolt… - Proceedings of the …, 2024‏ - dl.acm.org
External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

Revolutionizing finance with llms: An overview of applications and insights

H Zhao, Z Liu, Z Wu, Y Li, T Yang, P Shu, S Xu… - arxiv preprint arxiv …, 2024‏ - arxiv.org
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …

[HTML][HTML] Empowering biomedical discovery with AI agents

S Gao, A Fang, Y Huang, V Giunchiglia, A Noori… - Cell, 2024‏ - cell.com
We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

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

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