Searched for: subject%3A%22GPT%22
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Amalan, Akash (author)
<br/>The rapid advancement of artificial intelligence technologies has significantly increased the complexity of polymorphic and metamorphic malware, presenting new challenges to cybersecurity defenses. Our study introduces a novel bioinformatics-inspired approach, leveraging deep learning and phylogenetic analysis to understand the evolutionary...
master thesis 2024
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Gupta, Dibyendu (author)
The growth of academic publications, heterogeneity of datasets and the absence of a globally accepted organization identifier introduce the challenge of affiliation disambiguation in bibliographic databases. In this paper, we create a baseline using the currently implemented algorithm for author affiliation linkage in Alexandria3k by comparing...
bachelor thesis 2024
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de Winter, J.C.F. (author)
This study explores the potential of ChatGPT, a large language model, in scientometrics by assessing its ability to predict citation counts, Mendeley readers, and social media engagement. In this study, 2222 abstracts from PLOS ONE articles published during the initial months of 2022 were analyzed using ChatGPT-4, which used a set of 60 criteria...
journal article 2024
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van Leeuwen, Sander (author)
Language is an intuitive and effective way for humans to communicate. Large Language Models (LLMs) can interpret and respond well to language. However, their use in deep reinforcement learning is limited as they are sample inefficient. State-of-the-art deep reinforcement learning algorithms are more sample efficient but cannot understand...
master thesis 2023
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Sándor, Kristóf (author)
Large Language Models (LLM) have brought significant performance increase on many Natural Language Processing tasks. However LLMs have not been tested for meeting summarization. This research paper examines the effectiveness of the gpt-3.5-turbo model on the meeting summarization domain. However due to input length limitations, it cannot be...
bachelor thesis 2023
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Mekkes, Erik (author)
Large Language Models of code have seen significant jumps in performance recently. However, these jumps tend to accompany a notable and perhaps concerning increase in scale and costs. We contribute an evaluation of prediction performance with respect to model size by assessing the layer-wise progression for language and user-defined elements in...
bachelor thesis 2023
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Malmsten, Emil (author)
The application of large language models (LLMs) for programming tasks, such as automatic code completion, has seen a significant upswing in recent years. However, due to their computational demands, they have to operate on servers. This both requires users to have a steady internet connection and raises potential privacy concerns. Therefore,...
bachelor thesis 2023
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Mulder, Rick (author)
Using AI to support programming has recently gained a lot of popularity. Researchers have been developing tools to support programming activities using GPT models such as ChatGPT and Codex In this paper, we present the most common pro-gramming activities that these models can support. We show that they have a varying range of success<br/>across...
bachelor thesis 2023
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de Moor, Aral (author)
Large language models are powerful because of their state-of-the-art language processing abilities. But, they come at the cost of being extremely resource-intensive, and are steadily growing in size. As a result, compressing such models for resource- constrained devices is an active and promising re- search area. In spite of their current...
bachelor thesis 2023
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de Winter, J.C.F. (author)
Launched in late November 2022, ChatGPT, a large language model chatbot, has garnered considerable attention. However, ongoing questions remain regarding its capabilities. In this study, ChatGPT was used to complete national high school exams in the Netherlands on the topic of English reading comprehension. In late December 2022, we submitted...
journal article 2023
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Pa Pa, Yin Minn (author), Tanizaki, Shunsuke (author), Kou, Tetsui (author), van Eeten, M.J.G. (author), Yoshioka, Katsunari (author), Matsumoto, Tsutomu (author)
We investigate the potential for abuse of recent AI advances by developing seven malware programs and two attack tools using ChatGPT, OpenAI Playground's "text-davinci-003"model, and Auto-GPT - an open-source AI agent capable of generating automated prompts to accomplish user-defined goals. We confirm that: 1) Under the safety and moderation...
conference paper 2023
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Patel, Nirmal (author), Nagpal, Pooja (author), Shah, Tirth (author), Sharma, Aditya (author), Malvi, Shrey (author), Lomas, J.D. (author)
Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard-to-read math word problems can put some students at a disadvantage if they are behind in their...
journal article 2023
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Trasberg, Markus (author)
With the surge of mental health issues during COVID-19, more emphasis has turned towards assessing wellbeing. At the same time, recent advances in AI have shown huge potential in a variety of fields. However, few solutions are available at the intersection of those two fields. This research explores how the use of transformer models like GPT-3...
bachelor thesis 2022
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Lam, Jimmy (author)
Schema therapy is a physiological treatment technique for mental health issues. Based on the thoughts and behaviour, patients are classified to a schema mode which represents their current state of mind. Automatically classifying these thoughts and behaviours could improve detection of potential mental health issues as well as provide better and...
bachelor thesis 2021
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