Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases

Understand

Large Language Models (LLMs) have demonstrated remarkable performance in code completion.

• However, due to the lack of domain-specific knowledge, they may not be optimal in completing code that requires intensive domain knowledge for example completing the library names.
• Although there are several works that have confirmed the effectiveness of fine-tuning techniques to adapt language models for code completion in specific domains.
• They are limited by the need for constant fine-tuning of the model when the project is in constant iteration.