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Crash diagrams are essential tools in transportation safety analysis, yet their manual preparation remains time-consuming and prone to human variability. This study investigates the use of Vision-Language Models (VLMs) to automate crash…

人机交互 · 计算机科学 2026-04-20 Xiao Lu , Hao Zhen , Jidong J. Yang

The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in…

软件工程 · 计算机科学 2024-05-28 Sayed Erfan Arefin , Tasnia Ashrafi Heya , Hasan Al-Qudah , Ynes Ineza , Abdul Serwadda

Robots are increasingly common in industry and daily life, such as in nursing homes where they can assist staff. A key challenge is developing intuitive interfaces for easy communication. The use of Large Language Models (LLMs) like GPT-4…

机器人学 · 计算机科学 2024-08-01 Stanislau Stankevich , Wojciech Dudek

Generative AI and large language models hold great promise in enhancing computing education by powering next-generation educational technologies for introductory programming. Recent works have studied these models for different scenarios…

Large language models (LLMs) providing generative AI have become popular to support software engineers in creating, summarizing, optimizing, and documenting source code. It is still unknown how LLMs can support control engineers using…

软件工程 · 计算机科学 2023-05-26 Heiko Koziolek , Sten Gruener , Virendra Ashiwal

With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous attention in healthcare. Despite their potential benefits, researchers have underscored various ethical implications. While individual instances have…

计算机与社会 · 计算机科学 2024-07-09 Joschka Haltaufderheide , Robert Ranisch

The way users acquire information is undergoing a paradigm shift with the advent of ChatGPT. Unlike conventional search engines, ChatGPT retrieves knowledge from the model itself and generates answers for users. ChatGPT's impressive…

密码学与安全 · 计算机科学 2023-10-06 Xinyue Shen , Zeyuan Chen , Michael Backes , Yang Zhang

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing…

计算与语言 · 计算机科学 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan

With the rapid advancements in Natural Language Processing (NLP), large language models (LLMs) like GPT-4 have gained significant traction in diverse applications, including security vulnerability scanning. This paper investigates the…

密码学与安全 · 计算机科学 2025-06-19 Madjid G. Tehrani , Eldar Sultanow , William J. Buchanan , Mahkame Houmani , Christel H. Djaha Fodja

This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds immense promise across various industries, such as customer…

密码学与安全 · 计算机科学 2023-07-27 Xiaodong Wu , Ran Duan , Jianbing Ni

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

计算与语言 · 计算机科学 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

Recent advances in large language models for test case generation have improved branch coverage via prompt-engineered mutations. However, they still lack principled mechanisms for steering models toward specific high-risk execution…

软件工程 · 计算机科学 2026-04-21 Khang Tran , Khoa Nguyen , Cristian Borcea , NhatHai Phan

Large Language Models (LLMs), such as ChatGPT, are increasingly leveraged for generating both traditional software code and spreadsheet logic. Despite their impressive generative capabilities, these models frequently exhibit critical issues…

软件工程 · 计算机科学 2025-11-27 Simon Thorne , Advait Sarkar

Large Language Models (LLMs) have shown promise in multiple software engineering tasks including code generation, program repair, code summarisation, and test generation. Fault localisation is instrumental in enabling automated debugging…

软件工程 · 计算机科学 2023-10-03 Yonghao Wu , Zheng Li , Jie M. Zhang , Mike Papadakis , Mark Harman , Yong Liu

The widespread adoption of conversational LLMs for software development has raised new security concerns regarding the safety of LLM-generated content. Our motivational study outlines ChatGPT's potential in volunteering context-specific…

软件工程 · 计算机科学 2025-04-07 Amirali Sajadi , Binh Le , Anh Nguyen , Kostadin Damevski , Preetha Chatterjee

The pursuit of autonomous driving technology hinges on the sophisticated integration of perception, decision-making, and control systems. Traditional approaches, both data-driven and rule-based, have been hindered by their inability to…

Large language models (LLMs), such as ChatGPT, have rapidly penetrated into people's work and daily lives over the past few years, due to their extraordinary conversational skills and intelligence. ChatGPT has become the fastest-growing…

计算与语言 · 计算机科学 2024-09-04 Wenxuan Wang

Programming reliability algorithms is crucial for risk assessment in geotechnical engineering. This study explores the possibility of automating and accelerating this task using Generative AI based on Large Language Models (LLMs).…

应用统计 · 统计学 2025-06-25 Atma Sharma , Jie Zhang , Meng Lu , Shuangyi Wu , Baoxiang Li

Large Language Models (LLMs) are transforming the robotics domain by enabling robots to comprehend and execute natural language instructions. The cornerstone benefits of LLM include processing textual data from technical manuals,…

As large language models (LLMs) become more powerful and are deployed more autonomously, it will be increasingly important to prevent them from causing harmful outcomes. Researchers have investigated a variety of safety techniques for this…

机器学习 · 计算机科学 2024-07-24 Ryan Greenblatt , Buck Shlegeris , Kshitij Sachan , Fabien Roger