Refining chatgpt-generated code: Characterizing and mitigating code quality issues

Y Liu, T Le-Cong, R Widyasari… - ACM Transactions on …, 2024 - dl.acm.org
Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …

Robustness, security, privacy, explainability, efficiency, and usability of large language models for code

Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo - arxiv preprint arxiv:2403.07506, 2024 - arxiv.org
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

Security weaknesses of copilot generated code in github

Y Fu, P Liang, A Tahir, Z Li, M Shahin, J Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
Modern code generation tools, utilizing AI models like Large Language Models (LLMs),
have gained popularity for producing functional code. However, their usage presents …

Efficiency in language understanding and generation: An evaluation of four open-source large language models

SM Wong, H Leung, KY Wong - 2024 - researchsquare.com
This study provides a comprehensive evaluation of the efficiency of Large Language Models
(LLMs) in performing diverse language understanding and generation tasks. Through a …

On the reliability and explainability of language models for program generation

Y Liu, C Tantithamthavorn, Y Liu, L Li - ACM Transactions on Software …, 2024 - dl.acm.org
Recent studies have adopted pre-trained language models, such as CodeT5 and CodeGPT,
for automated program generation tasks like code generation, repair, and translation …

Automatically Recommend Code Updates: Are We There Yet?

Y Liu, C Tantithamthavorn, Y Liu… - ACM Transactions on …, 2024 - dl.acm.org
In recent years, large pre-trained Language Models of Code (CodeLMs) have shown
promising results on various software engineering tasks. One such task is automatic code …

Reasoning and planning with large language models in code development

H Ding, Z Fan, I Guehring, G Gupta, W Ha… - Proceedings of the 30th …, 2024 - dl.acm.org
Large Language Models (LLMs) are revolutionizing the field of code development by
leveraging their deep understanding of code patterns, syntax, and semantics to assist …

Automatically Recommend Code Updates: Are We There Yet?

Y Liu, C Tantithamthavorn, Y Liu… - arxiv preprint arxiv …, 2022 - arxiv.org
In recent years, large pre-trained Language Models of Code (CodeLMs) have shown
promising results on various software engineering tasks. One such task is automatic code …

ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle

L Wu, Y Zhao, X Hou, T Liu, H Wang - Proceedings of the 21st …, 2024 - dl.acm.org
The advent of Large Language Models (LLMs) like ChatGPT has markedly transformed
software development, aiding tasks from code generation to issue resolution with their …

[PDF][PDF] Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study

Y Fu, P Liang, Z LI, M SHAHIN, J YU… - ACM Transactions on …, 2025 - researchgate.net
Recent advancements in code generation came with the emergence of Large Language
Models (LLMs). LLMs are deep learning models trained on a large code/text corpus with …