A comparison of LSTM, DistilBERT, and BERT for smart contract vulnerability classification claims high accuracy for fine-tuned LLMs, but the abstract's >90% figure conflicts with the 87-93% numbers in the results.
Attention-based machine learning model for smart contract vulnerability detection,
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Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
A comparison of LSTM, DistilBERT, and BERT for smart contract vulnerability classification claims high accuracy for fine-tuned LLMs, but the abstract's >90% figure conflicts with the 87-93% numbers in the results.