[HTML][HTML] When llms meet cybersecurity: A systematic literature review
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …
various fields, including cybersecurity, which faces an evolving threat landscape and …
Agentless: Demystifying llm-based software engineering agents
Recent advancements in large language models (LLMs) have significantly advanced the
automation of software development tasks, including code synthesis, program repair, and …
automation of software development tasks, including code synthesis, program repair, and …
Security of Language Models for Code: A Systematic Literature Review
Language models for code (CodeLMs) have emerged as powerful tools for code-related
tasks, outperforming traditional methods and standard machine learning approaches …
tasks, outperforming traditional methods and standard machine learning approaches …
Source code summarization in the era of large language models
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …
automatic (source) code summarization techniques have been proposed to generate a …
Esale: Enhancing code-summary alignment learning for source code summarization
(Source) code summarization aims to automatically generate succinct natural language
summaries for given code snippets. Such summaries play a significant role in promoting …
summaries for given code snippets. Such summaries play a significant role in promoting …
Exploring parameter-efficient fine-tuning of large language model on automated program repair
Automated Program Repair (APR) aims to fix bugs by generating patches. And existing work
has demonstrated that" pre-training and fine-tuning" paradigm enables Large Language …
has demonstrated that" pre-training and fine-tuning" paradigm enables Large Language …
Context-aware Code Segmentation for C-to-Rust Translation using Large Language Models
There is strong motivation to translate C code into Rust code due to the continuing threat of
memory safety vulnerabilities in existing C programs and the significant attention paid to …
memory safety vulnerabilities in existing C programs and the significant attention paid to …
On the effectiveness of large language models in statement-level code summarization
J Zhu, Y Miao, T Xu, J Zhu, X Sun - 2024 IEEE 24th …, 2024 - ieeexplore.ieee.org
Code comments are crucial for program comprehension, and the automated generation of
comments greatly enhances the efficiency of code commenting. Statement-level code …
comments greatly enhances the efficiency of code commenting. Statement-level code …
[HTML][HTML] The use of large language models for program repair
Abstract Large Language Models (LLMs) have emerged as a promising approach for
automated program repair, offering code comprehension and generation capabilities that …
automated program repair, offering code comprehension and generation capabilities that …
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation
TT Quoc, DH Minh, TQ Thanh… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have recently advanced many applications on software
engineering tasks, particularly the potential for code generation. Among contemporary …
engineering tasks, particularly the potential for code generation. Among contemporary …