Code completion is commonly used by software developers and is integrated into all major
IDE's. Good completion tools can not only save time and effort but may also help avoid …

Code completion is a popular software development tool integrated into all major IDEs.
Many neural language models have achieved promising results in completion suggestion …

Transformer-based language models for automatic code completion have shown great
promise so far, yet the evaluation of these models rarely uses real data. This study provides …

Code completion has become a common practice for programmers during their daily
programming activities. It automatically predicts the next tokens or statements that the …

Code completion has become a common practice for programmers during their daily
programming activities. It aims at automatically predicting the next tokens or lines that the …

Leveraging recent advancements in large language models, modern neural code
completion models have demonstrated the capability to generate highly accurate code …

Code completion, a highly valuable topic in the software development domain, has been
increasingly promoted for use by recent advances in large language models (LLMs). To …

Large Language Models (LLMs) have greatly advanced code auto-completion systems, with
a potential for substantial productivity enhancements for developers. However, current …

Code completion aims at speeding up code writing by predicting the next code token (s) the
developer is likely to write. Works in this field focused on improving the accuracy of the …

In this paper, we propose a novel end-to-end approach for AI-assisted code completion
called Pythia. It generates ranked lists of method and API recommendations which can be …