Papers

1. Large Language Models for Blockchain Security: A Systematic Literature Review

He, Z., Li, Z., & Yang, S. (2024). Large language models for blockchain security: A systematic literature review. IACR Cryptology ePrint Archive, 2024(477). Retrieved from https://eprint.iacr.org/2024/477

2. Enhancing Smart Contract Security: Leveraging Pre-Trained Language Models for Advanced Vulnerability Detection

He, F., Li, F., & Liang, P. (2024). Enhancing smart contract security: Leveraging pre-trained language models for advanced vulnerability detection. IET Blockchain. https://doi.org/10.1049/blc2.12072

3. When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Chen, C., Su, J., Chen, J., Wang, Y., Bi, T., Wang, Y., Lin, X., Chen, T., & Zheng, Z. (2023). When ChatGPT meets smart contract vulnerability detection: How far are we? arXiv. https://doi.org/10.48550/arXiv.2309.05520

4. SolGPT: A GPT-Based Static Vulnerability Detection Model for Enhancing Smart Contract Security

Zeng, S., Zhang, H., Wang, J., & Shi, K. (2023). SolGPT: A GPT-based static vulnerability detection model for enhancing smart contract security. In ICA3PP 2023 (pp. 42-62). Springer. https://doi.org/10.1007/978-981-97-0859-8_3