004 Datenverarbeitung; Informatik
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Blockchain-Empowered Resource Trading for Optimizing Bandwidth Reservation in Vehicular Networks
(2024)
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
(2024)
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
(2024)
Augmented Reality in Language Learning: Practical Implications for Researchers and Practitioners
(2024)
Exploring the Interplay of Process Mining and Generative AI: Research and Recommendations for CoEs
(2023)
Process Meets Project Prioritization: A Decision Model for Developing Process lmprovement Roadmaps
(2019)
Reducing the Pain of the Inevitable: Assisting IT Project Managers in Performing Risk Management
(2018)
Using the ASTERICS Framework for Rapid Prototyping and Education in Image Processing on FPGAs
(2020)
EduQuick: A Dataset Toward Evaluating Summarization of Informal Educational Content for Social Media
(2023)
This study explores the capacity of large language models (LLMs) to efficiently generate summaries of informal educational content tailored for platforms like TikTok. It also investigates how both humans and LLMs assess the quality of these summaries, based on a series of experiments, exploring the potential replacement of human evaluation with LLMs. Furthermore, the study delves into how experienced content creators perceive the utility of automatic summaries for TikTok videos. We employ strategic prompt selection techniques to guide LLMs in producing engaging summaries based on the characteristics of viral TikTok content, including hashtags, captivating hooks, storytelling, and user engagement. The study leverages OpenAI’s GPT-4 model to generate TikTok content summaries, aiming to align them with the essential features identified. By employing this model and incorporating human evaluation and expert assessment, this research endeavors to shed light on the intricate dynamics of modern content creation, where AI and human ingenuity converge. Ultimately, it seeks to enhance strategies for disseminating and evaluating educational information effectively in the realm of social media.
Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language
(2023)
Different online communities (social media bubbles) can be identified with their use of language. We looked at different social media bubbles and explored the task of translating between the language of one bubble into another while maintaining the intended meaning. We collected a dataset of Reddit comments from 20 different Subreddits and for a smaller subset of them we obtained style-neutral versions generated by a large language model. Then we used the dataset to fine-tune different (smaller) language models to learn style transfers between social media bubbles. We evaluated the models on unseen data from four unseen social media bubbles to assess to what extent they had learned the style transfer task and compared their performance with the zero-shot performance of a larger, non-fine tuned, language model. We show that with a small amount of fine-tuning the smaller models achieve satisfactory performance, making them more attractive than a larger, more resource-intensive model.
Emotion Recognition via Facial Expressions to Improve Virtual Communication in Videoconferences
(2023)
A Novel EEG-Based Real-Time Emotion Recognition Approach Using Deep Neural Networks on Raspberry Pi
(2023)
Elaboration on Terms and Techniques for Reuse of Submodels for Task and Workflow Specifications
(2016)
Situation-Aware Adaptations for Individualized User Experience and Task Management Optimization
(2023)
Schatten-IT
(2015)
Model-based User-Interface Adaptation by Exploiting Situations, Emotions and Software Patterns
(2017)
Raiders of the Lost Ark — A Review About the Roots and Application of Artificial Intelligence
(2021)
Your Smartphone, My Smartphone - How Smartphone Ownership Determines Social Group Affiliation
(2018)
Pandemic Containment With Digital Measures: Acceptance And Privacy Aspects Of Contact Tracing Apps
(2021)
KI auf Heimcomputern?
(2023)