An Empirical Study of Code Generation Errors made by Large Language Models

[PDF] arxiv.org

Where Are Large Language Models for Code Generation on GitHub?

X Yu, L Liu, X Hu, JW Keung, J Liu, X Xia - arXiv preprint arXiv:2406.19544, 2024 - arxiv.org
The increasing use of Large Language Models (LLMs) in software development has
garnered significant attention from researchers assessing the quality of the code they …
被引用次数：3 相关文章 所有 3 个版本
[PDF] arxiv.org

A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?

QH Chen, J Li, J Deng, J Yu, JTJ Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in Large Language Models (LLMs) have led to their widespread
application in automated code generation. However, these models can still generate …
相关文章 所有 2 个版本
[PDF] github.io

[PDF][PDF] LLMs for Generation of Architectural Components: An Exploratory Empirical Study in the Serverless World

S Arun, M Tedla, K Vaidhyanathan - sa4s-serc.github.io
Recently, the exponential growth in capability and pervasiveness of Large Language
Models (LLMs) has led to significant work done in the field of code generation. However, this …
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