3 papers
cs.CR2026
TimeMark: A Trustworthy Time Watermarking Framework for Exact Generation-Time Recovery from AIGC
Shangkun Che, Silin Du, Ge Gao
The widespread use of Large Language Models (LLMs) in text generation has raised increasing concerns about intellectual property disputes. Watermarking techniques, which embed meta…
cs.AI2024
Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
Xuewen Han, Neng Wang, Shangkun Che +3
In recent years, the application of generative artificial intelligence (GenAI) in financial analysis and investment decision-making has gained significant attention. However, most…
cs.AI2023
Bias of AI-Generated Content: An Examination of News Produced by Large Language Models
Xiao Fang, Shangkun Che, Minjia Mao +3
Large language models (LLMs) have the potential to transform our lives and work through the content they generate, known as AI-Generated Content (AIGC). To harness this transformat…