中文
相关论文

相关论文: Pros and Cons! Evaluating ChatGPT on Software Vuln…

200 篇论文

The rise of advanced chatbots, such as ChatGPT, has sparked curiosity in the scientific community. ChatGPT is a general-purpose chatbot powered by large language models (LLMs) GPT-3.5 and GPT-4, with the potential to impact numerous fields,…

Large Language Models (LLM) have become sophisticated enough that complex computer programs can be created through interpretation of plain English sentences and implemented in a variety of modern languages such as Python, Java Script, C++…

软件工程 · 计算机科学 2023-09-04 Simon Thorne

Software vulnerabilities are increasing at an alarming rate. However, manual patching is both time-consuming and resource-intensive, while existing automated vulnerability repair (AVR) techniques remain limited in effectiveness. Recent…

密码学与安全 · 计算机科学 2025-11-17 Zichao Wei , Jun Zeng , Ming Wen , Zeliang Yu , Kai Cheng , Yiding Zhu , Jingyi Guo , Shiqi Zhou , Le Yin , Xiaodong Su , Zhechao Ma

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

The introduction of ChatGPT has garnered significant attention within the NLP community and beyond. Previous studies have demonstrated ChatGPT's substantial advancements across various downstream NLP tasks, highlighting its adaptability and…

计算与语言 · 计算机科学 2025-07-08 Subham Raj , Sriparna Saha , Brijraj Singh , Niranjan Pedanekar

Security vulnerabilities are increasingly prevalent in modern software and they are widely consequential to our society. Various approaches to defending against these vulnerabilities have been proposed, among which those leveraging deep…

密码学与安全 · 计算机科学 2024-02-28 Yu Nong , Mohammed Aldeen , Long Cheng , Hongxin Hu , Feng Chen , Haipeng Cai

This paper presents a comprehensive evaluation of the code generation capabilities of ChatGPT, a prominent large language model, compared to human programmers. A novel dataset of 131 code-generation prompts across 5 categories was curated…

软件工程 · 计算机科学 2023-11-07 Muhammad Fawad Akbar Khan , Max Ramsdell , Erik Falor , Hamid Karimi

Large Language Models (LLMs) have shown promise in software vulnerability detection, particularly on function-level benchmarks like Devign and BigVul. However, real-world detection requires interprocedural analysis, as vulnerabilities often…

密码学与安全 · 计算机科学 2025-03-19 Alperen Yildiz , Sin G. Teo , Yiling Lou , Yebo Feng , Chong Wang , Dinil M. Divakaran

Software vulnerabilities continue to be ubiquitous, even in the era of AI-powered code assistants, advanced static analysis tools, and the adoption of extensive testing frameworks. It has become apparent that we must not simply prevent…

Large Language Models (LLMs) have the potential to be used to support research evaluation and have a moderate capability to estimate the research quality of a journal article from its title and abstract. This paper assesses whether there…

数字图书馆 · 计算机科学 2026-03-17 Kayvan Kousha , Mike Thelwall

Web accessibility ensures that individuals with disabilities can access and interact with digital content without barriers, yet a significant majority of most used websites fail to meet accessibility standards. This study evaluates…

人机交互 · 计算机科学 2025-07-21 Ammar Ahmed , Margarida Fresco , Fredrik Forsberg , Hallvard Grotli

Cybersecurity breaches targeting electrical substations constitute a significant threat to the integrity of the power grid, necessitating comprehensive defense and mitigation strategies. Any anomaly in information and communication…

密码学与安全 · 计算机科学 2024-02-27 Aydin Zaboli , Seong Lok Choi , Tai-Jin Song , Junho Hong

This paper presents a comprehensive empirical analysis of security vulnerabilities in AI-generated code across public GitHub repositories. We collected and analyzed 7,703 files explicitly attributed to four major AI tools: ChatGPT…

密码学与安全 · 计算机科学 2025-10-31 Maximilian Schreiber , Pascal Tippe

Large Language Models (LLMs) have emerged as promising tools in software development, enabling automated code generation and analysis. However, their knowledge is limited to a fixed cutoff date, making them prone to generating code…

密码学与安全 · 计算机科学 2025-12-01 Minjae Seo , Wonwoo Choi , Myoungsung You , Seungwon Shin

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next,…

计算与语言 · 计算机科学 2023-09-07 Ou Zheng , Mohamed Abdel-Aty , Dongdong Wang , Zijin Wang , Shengxuan Ding

This study compares the design practices and performance of ChatGPT 4.0, a large language model (LLM), against graduate engineering students in a 48-hour prototyping hackathon, based on a dataset comprising more than 100 prototypes. The LLM…

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Large language models that exhibit instruction-following behaviour represent one of the biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the release of OpenAI's ChatGPT, a proprietary large language…

计算与语言 · 计算机科学 2023-07-13 Andreas Liesenfeld , Alianda Lopez , Mark Dingemanse

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

软件工程 · 计算机科学 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT's capacities to solve and grade real programming exams,…

人工智能 · 计算机科学 2025-03-21 Pablo Saborido-Fernández , Marcos Fernández-Pichel , David E. Losada