1 citations · 1 across the 3 of their papers we have counts for
4 papers
Implicit Federated In-context Learning For Task-Specific LLM Fine-Tuning
Dongcheng Li, Junhan Chen, Aoxiang Zhou +4
As large language models continue to develop and expand, the extensive public data they rely on faces the risk of depletion. Consequently, leveraging private data within organizati…
LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework
Yanli Jin, Chunpei Li, Peng Fan +4
Smart contracts are a key component of the Web 3.0 ecosystem, widely applied in blockchain services and decentralized applications. However, the automated execution feature of smar…
Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
Youquan Xian, Xueying Zeng, Duancheng Xuan +4
Blockchain smart contracts have catalyzed the development of decentralized applications across various domains, including decentralized finance. However, due to constraints in comp…
Instant Resonance: Dual Strategy Enhances the Data Consensus Success Rate of Blockchain Threshold Signature Oracles
Youquan Xian, Xueying Zeng, Chunpei Li +4
With the rapid development of Decentralized Finance (DeFi) and Real-World Assets (RWA), the importance of blockchain oracles in real-time data acquisition has become increasingly p…