AI RESEARCH
Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
arXiv CS.AI
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ArXi:2605.03697v1 Announce Type: cross Smart contracts on blockchains are prone to diverse security vulnerabilities that can lead to significant financial losses due to their immutable nature. Existing detection approaches often lack flexibility across vulnerability types and rely heavily on manually crafted expert rules. In this paper, we present an LLM-based framework for practical smart contract vulnerability detection.