SmartIntentV2 uses a pre-trained BERT model on smart contracts to achieve an F1 score of 0.9279 for detecting malicious intents, outperforming previous models and GPT-4.1.
Smart-llama-dpo: Reinforced large language model for explainable smart contract vulnerability detection
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Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
SmartIntentV2 uses a pre-trained BERT model on smart contracts to achieve an F1 score of 0.9279 for detecting malicious intents, outperforming previous models and GPT-4.1.