Zekai Liu
1 indexed paper
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126
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Crypto×1
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2026
LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs
LiquiLM is a novel framework that combines Large Language Models (LLMs) with a Dynamic Co-Attention Network (DCN) to effectively bridge the semantic gap between complex smart contract code and high-level liquidity flaw descriptions, achieving high accuracy in auditing DeFi systems.
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