513 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Applied Sciences ErfurtDE3 papers
- Árni Magnússon Institute for Icelandic StudiesIS2 papers
- Charles UniversityCZ2 papers
- Dublin City UniversityIE2 papers
- Edinburgh CollegeGB2 papers
- ETH ZurichCH2 papers
- German Research Centre for Artificial IntelligenceDE2 papers
- Google (United States)US2 papers
- Johns Hopkins UniversityUS2 papers
- Microsoft (United Kingdom)GB2 papers
- Microsoft (United States)US2 papers
- University of EdinburghGB2 papers
14 papers
Preliminary Ranking of WMT25 General Machine Translation Systems
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…
Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials
Alexander Komar, Marc-André Heidelmann, Kristina Schaaff
Generative artificial intelligence (GenAI) is transforming education, redefining the role of trainers and coaches in learning environments. In our study, we explore how AI integrat…
Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging
Lennart Busch, Daniel Tebernum, Gissel Velarde
Efficient data exploration is crucial as data becomes increasingly important for accelerating processes, improving forecasts and developing new business models. Data consumers ofte…
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
Markus Haug, Gissel Velarde
This work empirically evaluates machine learning models on two imbalanced public datasets (KDDCUP99 and Credit Card Fraud 2013). The method includes data preparation, model trainin…
Josephson oscillations of two weakly coupled Bose-Einstein condensates
Alexej Schelle
A numerical experiment based on a particle number-conserving quantum field theory is performed for two initially independent Bose-Einstein condensates that are coherently coupled a…
Preliminary WMT24 Ranking of General MT Systems and LLMs
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +18
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking…
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Daniel Lakey, Tim Schlippe
Spacecraft operations are highly critical, demanding impeccable reliability and safety. Ensuring the optimal performance of a spacecraft requires the early detection and mitigation…
Exploring ChatGPT's Empathic Abilities
Kristina Schaaff, Caroline Reinig, Tim Schlippe
Empathy is often understood as the ability to share and understand another individual's state of mind or emotion. With the increasing use of chatbots in various domains, e.g., chil…
Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPT
Lorenz Mindner, Tim Schlippe, Kristina Schaaff
Recently, generative AIs like ChatGPT have become available to the wide public. These tools can for instance be used by students to generate essays or whole theses. But how does a…
Monte-Carlo simulation for the frequency comb spectrum of an atom laser
A. Schelle
A theoretical particle-number conserving quantum field theory based on the concept of imaginary time is presented and applied to the scenario of a coherent atomic laser field at ul…
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way
Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch +3
Robust and accurate pose estimation of a robotic platform, so-called sensor-based odometry, is an essential part of many robotic applications. While many sensor odometry systems ma…
A tropical view on Landau-Ginzburg models
Michael Carl, Max Pumperla, Bernd Siebert
This paper, largely written in 2009/2010, fits Landau-Ginzburg models into the mirror symmetry program pursued by the last author jointly with Mark Gross since 2001. This point of…
Enterprise AI Canvas -- Integrating Artificial Intelligence into Business
U. Kerzel
Artificial Intelligence (AI) and Machine Learning have enormous potential to transform businesses and disrupt entire industry sectors. However, companies wishing to integrate algor…
Demand Forecasting of Individual Probability Density Functions with Machine Learning
F. Wick, U. Kerzel, M. Hahn +5
Demand forecasting is a central component of the replenishment process for retailers, as it provides crucial input for subsequent decision making like ordering processes. In contra…