Finetuning large language models (LLMs) on instructions leads to vast performance
improvements on natural language tasks. We apply instruction tuning using code …

The task of generating code from a natural language description, or NL2Code, is considered
a pressing and significant challenge in code intelligence. Thanks to the rapid development …

Code generation models based on the pre-training and fine-tuning paradigm have been
increasingly attempted by both academia and industry, resulting in well-known industrial …

Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …

Large Language Models for Code (Code LLM) are flourishing. New and powerful models
are released on a weekly basis, demonstrating remarkable performance on the code …

In this work, we make the first attempt to evaluate LLMs in a more challenging code
generation scenario, ie class-level code generation. We first manually construct the first …

The scaling of large language models has greatly improved natural language
understanding, generation, and reasoning. In this work, we develop a system that trained a …

General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …

Code Generation aims at generating relevant code fragments according to given natural
language descriptions. In the process of software development, there exist a large number of …

The introduction of large language models has significantly advanced code generation.
However, open-source models often lack the execution capabilities and iterative refinement …