Research

P1 Publications

  • Association for Computational Linguistics

    2025

    Explainability and Interpretability of Multilingual Large Language Models: A Survey

    Lucas Resck, Isabelle Augenstein, Anna Korhonen

  • Association for Computational Linguistics

    Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users

    Antonia Karamolegkou, Malvina Nikandrou, Georgios Pantazopoulos, Danae S. Villegas, Phillip Rust, Ruchira Dhar, Daniel Hershcovich, Anders Søgaard

  • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks

    Alessio Quercia, Erenus Yildiz, Zhuo Cao, Kai Krajsek, Abigail Morrison, Ira Assent, Hanno Scharr

  • Interaction Studies

    Embodiment matters when establishing eye contact with a robot

    Kyveli Kompatsiari, Francesca Ciardo, Agnieszka Wykowska

  • Communications of the ACM

    Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI

    Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan

  • Science of Remote Sensing

    Drone imagery for roof detection, classification, and segmentation to support mosquito-borne disease risk assessment: The Nacala-Roof-Material dataset

    Venkanna B. Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel

  • 2025 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

    DOF-Separation for 3D Manipulation in XR: Understanding Finger-Wrist Separation to Simultaneously Translate and Rotate Objects

    Thorbjørn Mikkelsen, Qiushi Zhou, Mathias N. Lystbæk, Yang Liu, Hans Gellersen, Ken Pfeuffer

  • International Journal of Human-Computer Studies

    Does the peak-end rule apply to judgments of body ownership in virtual reality?

    Wen-Jie Tseng, Kasper Hornbæk

  • CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

    Does Random Movements mean Random Results? Why Asynchrony in Experiments on Body Ownership does not Work as Intended

    Olga Iarygina, Kasper Hornbæk, Aske Mottelson

  • Association for Computational Linguistics

    Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?

    Arzu B. Güven, Anna Rogers, Rob van der Goot

  • IEEE Control Systems Letters

    Distributions and Direct Parametrization for Stable Stochastic State-Space Models

    Mohamad Al Ahdab, Zheng‐Hua Tan, John Leth

  • International Journal of Human-Computer Studies

    DIRA: A model of the user interface

    Joanna Bergström, Kasper Hornbæk

  • International Journal of Human-Computer Studies

    Demand characteristics in human–computer experiments

    Olga Iarygina, Kasper Hornbæk, Aske Mottelson

  • ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    Deep Feedback Cancellation for Hearing Aids with Improved System Stability and Sound Quality

    Eleftheria Lydaki, Zheng‐Hua Tan, Jesper R. Jensen, Meng Guo

  • Nature Human Behaviour

    Decoupling geographical constraints from human mobility

    Louis Boucherie, Benjamin F. Maier, Sune Lehmann

  • International Journal of Human-Computer Studies

    De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems

    Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria S. Pera, Nava Tintarev, Jürgen Ziegler

  • Image Analysis (SCIA 2025)

    Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging

    Sebastian N. Llambias, Mads Nielsen, Mostafa M. Ghazi

  • University of Tartu Library

    Danoliteracy of Generative Large Language Models

    Søren V. Holm, Lars Kai Hansen, Martin C. Nielsen

  • Association for Computational Linguistics

    Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling

    Jannek Ulm, Kevin Du, Vésteinn Snæbjarnarson

  • Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)

    Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks

    Teresa Dorszewski, Lenka Tětková, Lorenz Linhardt, Lars Kai Hansen

  • AI & Society

    Computational implementations of responsible AI: from the right to be forgotten to machine unlearning

    Helene F. Ratner, Thomas B. Moeslund

  • Nature Scientific Reports

    Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation

    Zahra Bashir, Manxi Lin, Aasa Feragen, Kamil Mikolaj, Caroline Taksøe-Vester, Anders N. Christensen, Morten B. S. Svendsen, Mette H. Fabricius, Lisbeth Andreasen, Mads Nielsen, Martin G. Tolsgaard

  • ICLR 2025

    CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

    ZeMing Gong, Austin Wang, Xiaoliang Huo, Joakim B. Haurum, Scott C. Lowe, Graham W. Taylor, Angel Chang

  • PLoS ONE

    Challenges in explaining deep learning models for data with biological variation

    Lenka Tětková, Erik S. Dreier, Robin Malm, Lars Kai Hansen

  • The Journal of Open Source Software

    BONSAI: A framework for processing and analysing Electronic Health Records (EHR) data using transformer-based models

    Maria E. Montgomery, Kiril V. Klein, Mikkel Odgaard, Stephan S. Lorenzen, Zahra Sobhaninia

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