Fine-tuning LLaMA 3B with LoRA on synthetic Solidity contracts yields 67% accuracy on the contracts it chooses to classify, but only about 52% when abstentions are counted as errors.
In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp
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An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection
Fine-tuning LLaMA 3B with LoRA on synthetic Solidity contracts yields 67% accuracy on the contracts it chooses to classify, but only about 52% when abstentions are counted as errors.