Searched for: subject%3A%22Large%255C+Language%255C+Models%22
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Tabone, W. (author)
This thesis explores how automated vehicles will interact with pedestrians in the urban environment through augmented reality technology. Nine distinct AR interfaces were designed, developed, and evaluated to assess how different design elements (symbols, text, colour) and distinct mappings of the AR (on the road, on the vehicle, or head-locked)...
doctoral thesis 2024
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van Lieshout, Jelle (author)
Author name disambiguation, otherwise described as (publication) record linking, is a problem that has had considerable research dedicated to its solv- ing. Author attributions, calculating research met- rics and conducting literature reviews are amongst processes that experience increased difficulty due to ambiguous author names. In this study,...
bachelor thesis 2024
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Klenk, M.B.O.T. (author)
Generative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential inquiries encompassing conceptual, empirical, and design dimensions of manipulation, pivotal for comprehending...
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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Klop, Pepijn (author)
This research introduces a Language Model Augmented Program Synthesis (LMAPS) workflow to enhance traditional Programming by Example (PBE). PBE is a method to automatically generate a program that satisfies a specification that consists of a set of input-output examples. These program specifications are often defined by a few examples, which can...
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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Domhof, Jan (author)
Meetings are the keystone of a good company. They allow for quick decision making, multiple-perspective problem solving and effective communication. However, most employees and managers have a negative view on the efficiency and quality of their meetings. High quality meetings where every participant feels equally heard and respected is crucial...
bachelor thesis 2023
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de Weerd, Daniël (author)
This paper presents a novel approach to detect agreement and disagreement moments between participants in meeting transcripts without relying on labeled data. We propose a model in which disagreement detection is defined as the process of first identifying argumentative theses relevant to a given corpus of text and then classifying all phrases...
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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Keeler, Miranda (author)
We present an investigation into the relationship between the average depth of the first correct prediction and the performance of CodeGen. This was done on a dataset comprised of code files comprised of C++, Go, Java, Julia, Kotlin, and Python. The analysis involved investigating the model's predictions at different layers using a Tuned Lens,...
bachelor thesis 2023
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Kuo, Nadine (author)
The development of contemporary source code auto-completion tools have significantly boosted productivity and efficiency of developers. In 2021, the GPT-2-based Transformer CodeGPT was developed to support code completion and text-to-code generation. Similarly to most code models however, CodeGPT was trained on a limited set of widely-used...
bachelor thesis 2023
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Cambaz, Doga (author)
The recent emergence of AI-driven code generation models can potentially transform programming education. To pinpoint the current state of research on using AI code generators to support learning and teaching programming, we conducted a systematic literature review with 21 papers published since 2018. The review presents the teaching and...
bachelor thesis 2023
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Neagu, Alexandra (author)
In recent years, significant progress has been made in the field of natural language processing (NLP) through the development of large language models (LLMs) like BERT and ChatGPT. These models have showcased remarkable abilities across a range of NLP tasks. However, effectively harnessing their potential requires meticulous prompt engineering...
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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Slezák, Samuel (author)
As artificial intelligence (AI) technology progressively integrates into daily life and domestic environments, it instigates a pressing inquiry: What new spatial implications can arise from the integration of artificially intelligent technologies within homes, and what role can these AI technologies play in reinforcing social interaction among...
master thesis 2023
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El Haji, Khalid (author)
Writing unit tests is a crucial task in the software development lifecycle, ensuring the correctness of the software developed. Due to its time-consuming and laborious nature, it is, however, often neglected by software engineers. Numerous automatic test generation tools have been devised to ease unit testing efforts, but these test generation...
master thesis 2023
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Dwivedi, Yogesh K. (author), Kshetri, Nir (author), Hughes, Laurie (author), Balakrishnan, Janarthanan (author), Buhalis, Dimitrios (author), Dennehy, Denis (author), Dubey, Rameshwar (author), Janssen, M.F.W.H.A. (author)
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative...
journal article 2023
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Harte, Jesse (author), Zorgdrager, Wouter (author), Louridas, Panos (author), Katsifodimos, A (author), Jannach, Dietmar (author), Fragkoulis, M. (author)
Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches. In this work, we explore how large language models (LLMs), which are nowadays introducing disruptive effects in many AI-based applications, can be used to build or...
conference paper 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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