Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Repository-level code completion aims to generate code for unfinished code snippets within
the context of a specified repository. Existing approaches mainly rely on retrieval-augmented …

The rapid development of deep learning techniques, improved computational power, and
the availability of vast training data have led to significant advancements in pre-trained …

Code generation aims to automatically generate code snippets that meet given natural
language requirements and plays an important role in software development. Although …

In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …

Large language models (LLMs) have brought a paradigm shift to the field of code
generation, offering the potential to enhance the software development process. However …

Recently, large language models (LLMs) have demonstrated their effectiveness in various
natural language processing (NLP) tasks. However, the lack of tourism knowledge limits the …

Large language models (LLMs) such as GPT-4 have emerged as promising tools for
providing programming feedback. However, effective deployment of LLMs in massive …

This study assesses the code generation capabilities of ChatGPT using competitive
programming problems from platforms such as LeetCode, HackerRank, and UVa Online …

Developers nowadays are increasingly turning to large language models (LLMs) like
ChatGPT to assist them with coding tasks, inspired by the promise of efficiency and the …