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Related papers: h2oGPT: Democratizing Large Language Models

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This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are proprietary LLMs like GPT-4 and GPT-o1, which have captured…

In this study, we evaluated the capability of Large Language Models (LLMs), particularly OpenAI's GPT-4, in detecting software vulnerabilities, comparing their performance against traditional static code analyzers like Snyk and Fortify. Our…

Software Engineering · Computer Science 2023-08-22 David Noever

Large Language Models (LLMs) such as ChatGPT and its competitors have caused a revolution in natural language processing, but their capabilities also introduce new security vulnerabilities. This survey provides a comprehensive overview of…

Cryptography and Security · Computer Science 2025-08-26 Miles Q. Li , Benjamin C. M. Fung

Countless terms of service (ToS) are being signed everyday by users all over the world while interacting with all kinds of apps and websites. More often than not, these online contracts spanning double-digit pages are signed blindly by…

Computation and Language · Computer Science 2024-09-09 Mirgita Frasheri , Arian Bakhtiarnia , Lukas Esterle , Alexandros Iosifidis

The use of generative AI-based coding assistants like ChatGPT and Github Copilot is a reality in contemporary software development. Many of these tools are provided as remote APIs. Using third-party APIs raises data privacy and security…

Software Engineering · Computer Science 2025-01-20 Negar Alizadeh , Boris Belchev , Nishant Saurabh , Patricia Kelbert , Fernando Castor

Large Language Models (LLMs) have achieved unprecedented performance in Natural Language Generation (NLG) tasks. However, many existing studies have shown that they could be misused to generate undesired content. In response, before…

Machine Learning · Computer Science 2023-10-04 Hangfan Zhang , Zhimeng Guo , Huaisheng Zhu , Bochuan Cao , Lu Lin , Jinyuan Jia , Jinghui Chen , Dinghao Wu

This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of multiple LLMs which demonstrates the diversities capable with a…

Computation and Language · Computer Science 2025-08-05 Purva Prasad Gosavi , Vaishnavi Murlidhar Kulkarni , Alan F. Smeaton

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems in assisting complex scientific tasks, such as material…

Human-Computer Interaction · Computer Science 2024-01-26 Yongtao Liu , Marti Checa , Rama K. Vasudevan

The rise of Generative Artificial Intelligence systems ("AI systems") has created unprecedented social engagement. AI code generation systems provide responses (output) to questions or requests by accessing the vast library of open-source…

Computers and Society · Computer Science 2024-01-31 Dimitrios Ioannidis , Jeremy Kepner , Andrew Bowne , Harriet S. Bryant

Large language models (LLMs) have been shown to be persuasive across a variety of contexts. But it remains unclear whether this persuasive power advantages truth over falsehood, or if LLMs can promote misbeliefs just as easily as refuting…

As large language models (LLMs) become more common in educational tools and programming environments, questions arise about how these systems should interact with users. This study investigates how different interaction styles with…

Human-Computer Interaction · Computer Science 2025-07-08 Kai Deng

Sensitive information detection is crucial in content moderation to maintain safe online communities. Assisting in this traditionally manual process could relieve human moderators from overwhelming and tedious tasks, allowing them to focus…

Effective prioritization of issue reports in software engineering helps to optimize resource allocation and information recovery. However, manual issue classification is laborious and lacks scalability. As an alternative, many open source…

Software Engineering · Computer Science 2025-06-03 Gabriel Aracena , Kyle Luster , Fabio Santos , Igor Steinmacher , Marco A. Gerosa

Researchers often rely on humans to code (label, annotate, etc.) large sets of texts. This kind of human coding forms an important part of social science research, yet the coding process is both resource intensive and highly variable from…

Artificial Intelligence · Computer Science 2023-06-06 Christopher Michael Rytting , Taylor Sorensen , Lisa Argyle , Ethan Busby , Nancy Fulda , Joshua Gubler , David Wingate

Privacy policies serve as the primary conduit through which online service providers inform users about their data collection and usage procedures. However, in a bid to be comprehensive and mitigate legal risks, these policy documents are…

Computation and Language · Computer Science 2023-09-20 Chenhao Tang , Zhengliang Liu , Chong Ma , Zihao Wu , Yiwei Li , Wei Liu , Dajiang Zhu , Quanzheng Li , Xiang Li , Tianming Liu , Lei Fan

Large language models (LLMs) demonstrate powerful information handling capabilities and are widely integrated into chatbot applications. OpenAI provides a platform for developers to construct custom GPTs, extending ChatGPT's functions and…

Cryptography and Security · Computer Science 2025-06-05 Wei Wenying , Zhao Kaifa , Xue Lei , Fan Ming

Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthcare [23]. LLMs are open-ended models trained on diverse data…

Cryptography and Security · Computer Science 2024-12-24 Herve Debar , Sven Dietrich , Pavel Laskov , Emil C. Lupu , Eirini Ntoutsi

We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of…

Computation and Language · Computer Science 2023-07-12 Michael O'Neill , Mark Connor

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…

Computation and Language · Computer Science 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan