Prompt-based Code Completion via Multi-Retrieval Augmented Generation
Automated code completion, aiming at generating subsequent tokens from unfinished code,
has been significantly benefited from recent progress in pre-trained Large Language Models …
has been significantly benefited from recent progress in pre-trained Large Language Models …
How far are AI-powered programming assistants from meeting developers' needs?
Recent In-IDE AI coding assistant tools (ACATs) like GitHub Copilot have significantly
impacted developers' coding habits. While some studies have examined their effectiveness …
impacted developers' coding habits. While some studies have examined their effectiveness …
Exploring Multi-Lingual Bias of Large Code Models in Code Generation
Code generation aims to synthesize code and fulfill functional requirements based on
natural language (NL) specifications, which can greatly improve development efficiency. In …
natural language (NL) specifications, which can greatly improve development efficiency. In …
[PDF][PDF] Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
The last several years saw the emergence of AI assistants for code—multi-purpose AI-based
helpers in software engineering. Their quick development makes it necessary to better …
helpers in software engineering. Their quick development makes it necessary to better …
REPOFUSE: Repository-Level Code Completion with Fused Dual Context
M Liang, X Xie, G Zhang, X Zheng, P Di, H Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The success of language models in code assistance has spurred the proposal of repository-
level code completion as a means to enhance prediction accuracy, utilizing the context from …
level code completion as a means to enhance prediction accuracy, utilizing the context from …