LiquiLM integrates LLMs and DCN to audit liquidity flaws in blockchain smart contracts, achieving over 90% F1-score and uncovering 238 high-risk contracts plus 10 CVE-certified vulnerabilities in real-world PoL and Ethereum contracts.
Auditgpt: Au- diting smart contracts with chatgpt,
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A decoupled four-stage LLM pipeline with rsLoRA, distillation, and CoVe aggregation outperforms larger models on smart contract vulnerability detection and explanation using only 0.6B-4B parameter models.
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LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs
LiquiLM integrates LLMs and DCN to audit liquidity flaws in blockchain smart contracts, achieving over 90% F1-score and uncovering 238 high-risk contracts plus 10 CVE-certified vulnerabilities in real-world PoL and Ethereum contracts.
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Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation
A decoupled four-stage LLM pipeline with rsLoRA, distillation, and CoVe aggregation outperforms larger models on smart contract vulnerability detection and explanation using only 0.6B-4B parameter models.