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The use of large language models (LLMs) for qualitative analysis is gaining attention in various fields, including software engineering, where qualitative methods are essential for understanding human and social factors. This study aimed to…

软件工程 · 计算机科学 2025-03-11 Matheus de Morais Leça , Lucas Valença , Reydne Santos , Ronnie de Souza Santos

The proliferation of large language models (LLMs) has sparked widespread and general interest due to their strong language generation capabilities, offering great potential for both industry and research. While previous research delved into…

人工智能 · 计算机科学 2024-07-09 Lukas Struppek , Minh Hieu Le , Dominik Hintersdorf , Kristian Kersting

The advent of Large Language Models (LLMs) has revolutionized language understanding and human-like text generation, drawing interest from many other fields with this question in mind: What else are the LLMs capable of? Despite their…

人工智能 · 计算机科学 2024-10-24 Nurullah Sevim , Mostafa Ibrahim , Sabit Ekin

Digital health tools have the potential to significantly improve the delivery of healthcare services. However, their adoption remains comparatively limited due, in part, to challenges surrounding usability and trust. Large Language Models…

计算与语言 · 计算机科学 2024-03-01 Fergus Imrie , Paulius Rauba , Mihaela van der Schaar

Modern life has witnessed the explosion of mobile devices. However, besides the valuable features that bring convenience to end users, security and privacy risks still threaten users of mobile apps. The increasing sophistication of these…

密码学与安全 · 计算机科学 2025-12-02 Tran Thanh Lam Nguyen , Barbara Carminati , Elena Ferrari

We argue that Large language models (LLMs) will soon alter the economics of cyberattacks. Instead of attacking the most commonly used software and monetizing exploits by targeting the lowest common denominator among victims, LLMs enable…

While the widespread deployment of Large Language Models (LLMs) holds great potential for society, their vulnerabilities to adversarial manipulation and exploitation can pose serious safety, security, and ethical risks. As new threats…

密码学与安全 · 计算机科学 2025-09-29 Charankumar Akiri , Harrison Simpson , Kshitiz Aryal , Aarav Khanna , Maanak Gupta

Large language models are deep learning models with a large number of parameters. The models made noticeable progress on a large number of tasks, and as a consequence allowing them to serve as valuable and versatile tools for a diverse…

软件工程 · 计算机科学 2023-04-11 Maxim Vidgof , Stefan Bachhofner , Jan Mendling

Large language models (LLMs) can reproduce a wide variety of rhetorical styles and generate text that expresses a broad spectrum of sentiments. This capacity, now available at low cost, makes them powerful tools for manipulation and…

社会与信息网络 · 计算机科学 2024-05-08 Yaqub Chaudhary , Jonnie Penn

The advancement of generative AI, particularly large language models (LLMs), has a significant impact on politics and democracy, offering potential across various domains, including policymaking, political communication, analysis, and…

计算与语言 · 计算机科学 2024-12-17 Goshi Aoki

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them…

Large Language Models (LLMs) have revolutionized the process of customer engagement, campaign optimization, and content generation, in marketing management. In this paper, we explore the transformative potential of LLMs along with the…

计算与语言 · 计算机科学 2025-01-22 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Javad Vahidi , Mohammad Zavvar , Zeynab Barzegar , Mahan Rofoosheh

Large Language Models (LLMs) & Generative AI are transforming cybersecurity, enabling both advanced defenses and new attacks. Organizations now use LLMs for threat detection, code review, and DevSecOps automation, while adversaries leverage…

密码学与安全 · 计算机科学 2026-02-24 Kiarash Ahi , Vaibhav Agrawal , Saeed Valizadeh

Large Language Models (LLMs) promise to automate data engineering on tabular data, offering enterprises a valuable opportunity to cut the high costs of manual data handling. But the enterprise domain comes with unique challenges that…

数据库 · 计算机科学 2025-11-18 Jan-Micha Bodensohn , Ulf Brackmann , Liane Vogel , Anupam Sanghi , Carsten Binnig

Large Language Models (LLMs) have been employed in financial decision making, enhancing analytical capabilities for investment strategies. Traditional investment strategies often utilize quantitative models, fundamental analysis, and…

综合金融 · 定量金融 2025-07-04 Sedigheh Mahdavi , Jiating , Chen , Pradeep Kumar Joshi , Lina Huertas Guativa , Upmanyu Singh

Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as…

Tabletop exercises are a crucial component of many company's strategy to test and evaluate its preparedness for security incidents in a realistic way. Traditionally led by external firms specializing in cybersecurity, these exercises can be…

密码学与安全 · 计算机科学 2024-08-31 Sam Hays , Jules White

Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent…

神经与进化计算 · 计算机科学 2024-05-17 Sen Huang , Kaixiang Yang , Sheng Qi , Rui Wang

Large Language Models (LLMs) have revolutionized content creation across digital platforms, offering unprecedented capabilities in natural language generation and understanding. These models enable beneficial applications such as content…

计算与语言 · 计算机科学 2025-08-14 Chi Zhang , Changjia Zhu , Junjie Xiong , Xiaoran Xu , Lingyao Li , Yao Liu , Zhuo Lu

In this paper, we explore the potential of Large Language Models (LLMs) to reason about threats, generate information about tools, and automate cyber campaigns. We begin with a manual exploration of LLMs in supporting specific…

密码学与安全 · 计算机科学 2023-10-12 Stephen Moskal , Sam Laney , Erik Hemberg , Una-May O'Reilly