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Publications

Displaying results 1751 to 1760 of 14988.

  1. Ekaterina Borisova; Nikolas Rauscher; Georg Rehm

    SciVQA 2025: Overview of the First Scientific Visual Question Answering Shared Task

    In: Tirthankar Ghosal; Philipp Mayr; Amanpreet Singh; Aakanksha Naik; Georg Rehm; Dayne Freitag; Dan Li; Sonja Schimmler; Anita De Waard (Hrsg.). Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025). Annual Meeting of the Association for Computational Linguistics (ACL), located at ACL 2025, Vienna, Austria, Pages 182-210, ISBN 979-8-89176-265-7, Association for Computational Linguistics, 2025.

  2. Abdelrhman Bassiouny; Ahmed H. Elsayed; Zoe Falomir; Angel P. del Pobil

    UJI-Butler: A Symbolic/Non-symbolic Robotic System that Learns Through Multi-modal Interaction

    In: International Journal of Social Robotics, Vol. 17, No. -, Pages 2883-2903, Springer, 3/2025.

  3. Ekaterina Borisova; Fabio Barth; Nils Feldhus; Raia Abu Ahmad; Malte Ostendorff; Pedro Ortiz Suarez; Georg Rehm; Sebastian Möller

    Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data

    In: Chang Shuaichen; Hulsebos Madelon; Liu Qian; Chen Wenhu; Sun Huan (Hrsg.). Proceedings of the 4th Table Representation Learning Workshop. Annual Meeting of the Association for Computational Linguistics (ACL), located at ACL 2025, July 31, Vienna, Austria, Pages 109-142, ISBN 979-8-89176-268-8, Association for Computational Linguistics, 2025.

  4. Alex Peiró-Lilja; Rodolfo Zevallos; Carme Armentano-Oller; Jose Giraldo; Cristina España-Bonet; Mireia Farrús

    Towards Domain-Specific Spoken Language Understanding for a Catalan Voice-Controlled Video Game

    In: Interspeech 2025. Conference in the Annual Series of Interspeech Events (INTERSPEECH), Rotterdam, Netherlands, Pages 4965-4966, Interspeech, 2025.

  5. Malte Wirkus

    Modular Task Modeling and Creation of High-Level Building Blocks for Implementing Complex Robot Applications

    PhD-Thesis, Universität Bremen, 2025.

  6. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  7. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  8. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.

  9. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    Learning differentiable logic programs for abstract visual reasoning

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 11, Pages 8533-8584, arXiv, 2024.

  10. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Structural causal models reveal confounder bias in linear program modelling

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 3, Pages 1329-1349, Springer, 2024.

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