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 …

State of the art on diffusion models for visual computing

R Po, W Yifan, V Golyanik, K Aberman… - Computer Graphics …, 2024 - Wiley Online Library
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Red-Teaming for generative AI: Silver bullet or security theater?

M Feffer, A Sinha, WH Deng, ZC Lipton… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
In response to rising concerns surrounding the safety, security, and trustworthiness of
Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red …

Emergent AI-assisted discourse: a case study of a second language writer authoring with ChatGPT

SR Jacob, T Tate, M Warschauer - Journal of China Computer …, 2024 - degruyter.com
The rapid proliferation of ChatGPT has incited debates regarding its impact on human
writing. Amid concerns about declining writing standards, this study investigates the role of …

Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …

H Xu, F Omitaomu, S Sabri, S Zlatanova, X Li, Y Song - Urban Informatics, 2024 - Springer
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …

Large language model supply chain: A research agenda

S Wang, Y Zhao, X Hou, H Wang - ACM Transactions on Software …, 2024 - dl.acm.org
The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

The mystery of in-context learning: A comprehensive survey on interpretation and analysis

Y Zhou, J Li, Y **ang, H Yan, L Gui… - Proceedings of the 2024 …, 2024 - aclanthology.org
Understanding in-context learning (ICL) capability that enables large language models
(LLMs) to excel in proficiency through demonstration examples is of utmost importance. This …

Generative ai and process systems engineering: The next frontier

B Decardi-Nelson, AS Alshehri, A Ajagekar… - Computers & Chemical …, 2024 - Elsevier
This review article explores how emerging generative artificial intelligence (GenAI) models,
such as large language models (LLMs), can enhance solution methodologies within process …

From matching to generation: A survey on generative information retrieval

X Li, J **, Y Zhou, Y Zhang, P Zhang, Y Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

[HTML][HTML] Impact of motivation factors for using generative AI services on continuous use intention: Mediating trust and acceptance attitude

S Kang, Y Choi, B Kim - Social Sciences, 2024 - mdpi.com
This study aims to empirically analyze the relationship between the motivational factors of
generative AI users and the intention to continue using the service. Accordingly, the motives …