19 citations · 24 across the 14 of their papers we have counts for
5 papers · 1 filter
I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion
Kun Li, Shichao Zhuang, Yue Zhang +5
Large Language Models (LLMs) excel in diverse tasks such as text generation, data analysis, and software development, making them indispensable across domains like education, busin…
AutoIoT: Automated IoT Platform Using Large Language Models
Ye Cheng, Minghui Xu, Yue Zhang +3
IoT platforms, particularly smart home platforms providing significant convenience to people's lives such as Apple HomeKit and Samsung SmartThings, allow users to create automation…
A Treatment of EIP-1559: Enhancing Transaction Fee Mechanism through Nth-Price Auction
Kun Li, Guangpeng Qi, Guangyong Shang +3
With the widespread adoption of blockchain technology, the transaction fee mechanism (TFM) in blockchain systems has become a prominent research topic. An ideal TFM should satisfy…
DataSafe: Copyright Protection with PUF Watermarking and Blockchain Tracking
Xiaolong Xue, Guangyong Shang, Zhen Ma +4
Digital watermarking methods are commonly used to safeguard digital media copyrights by confirming ownership and deterring unauthorized use. However, without reliable third-party o…
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
Biwei Yan, Kun Li, Minghui Xu +4
Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyz…