Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning

Understand

The previous smart contract code comment (SCC) generation approaches can be divided into two categories: fine-tuning paradigm-based approaches and information retrieval-based approaches.

• However, for the fine-tuning paradigm-based approaches, the performance may be limited by the quality of the gathered dataset for the downstream task and they may have knowledge-forgetting issues.
• While for the information retrieval-based approaches, it is difficult for them to generate high-quality comments if similar code does not exist in the historical repository.
• Therefore we want to utilize the domain knowledge related to SCC generation in large language models (LLMs) to alleviate the disadvantages of these two types of approaches.