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: Fundamentals of Software Engineering: 8th International Conference, FSEN 2019, Tehran, Iran, May 1-3, 2019, Revised Selected Papers 8, 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.