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Publications

Displaying results 611 to 620 of 14933.

  1. Max Upravitelev; Premtim Sahitaj; Arthur Hilbert; Veronika Solopova; Jing Yang; Nils Feldhaus; Tatjana Anikina; Simon Ostermann; Vera Schmitt

    Exploring semantic filtering heuristics for efficient claim verification

    In: Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER). Workshop on Fact Extraction and Verification (FEVER-2025), July 31, Vienna, Austria, Pages 229-237, ISBN 978-1-959429-53-1, Association for Computational Linguistics, 7/2025.

  2. Robert Belanec; Simon Ostermann; Ivan Srba; Marie Bielikova

    Task prompt vectors: Effective initialization through multi-task soft prompt transfer

    In: Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2025), September 15-19, Porto, Portugal, Pages 77-94, Lecture Notes in Computer Science (LNAI), Vol. 16020, Springer, Berlin, Heidelberg, 10/2025.

  3. Simon Ostermann; Badr M Abdullah; Yusser Al Ghussin; Zena al-Khalili; Ömer Tarik Özyilmaz; Matias Valdenegro-Toro; Dietrich Klakow

    Saarland-Groningen at NADI 2025 Shared Task: Effective Dialectal Arabic Speech Processing under Data Constraints

    In: Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks. Arabic Natural Language Processing Conference (ArabicNLP-2025), November 8-9, Suzhou, China, Pages 745-751, ISBN 979-8-89176-356-2, Association for Computational Linguistics, 11/2025.

  4. Malte Högemann; Laura Hein; Jan-Oliver Britsche; Oliver Thomas

    Technostress and generative AI in the workplace: a qualitative analysis of young professionals

    In: Frontiers in Artificial Intelligence, Vol. Volume 8 - 2025, No. 1728881, Pages 1-13, Frontiers Media SA, Lausanne, 2025.

  5. Malte Högemann; Jonas Betke; Oliver Thomas

    What you see is not what you get anymore: a mixed-methods approach on human perception of AI-generated images

    In: Frontiers in Artificial Intelligence, Vol. Volume 8 - 2025, No. 1707336, Pages 1-14, Frontiers Media SA, Lausanne, 2025.

  6. Amos Smith; Nael Jaber; Leif Christensen; Martin Atzmueller

    BLENDgänger: Generating Synthetic MBES Data for Underwater UXO Perception Tasks

    In: Jessica Daignault; Katie Skinner; Ed Verhamme (Hrsg.). OCEANS-2025 Great Lakes. OCEANS MTS/IEEE Conference (OCEANS-2025), September 29 - October 2, Chicago, Illinois, USA, Pages 1-9, IEEE, 2025.

  7. Nael Jaber; Qais Al-Ramahi; Leif Christensen; Bilal Wehbe

    SonarCloud: A Simulated Forward Looking Sonar Dataset for Underwater Perception Tasks

    In: Jessica Daignault; Katie Skinner; Ed Verhamme (Hrsg.). SonarCloud: A Simulated Forward Looking Sonar Dataset for Underwater Perception Tasks. OCEANS MTS/IEEE Conference (OCEANS-2025), September 29 - October 2, Chicago, Illinois, Illinois, USA, IEEE, 2025.

  8. Jan Herbst; Jan Petershans; Seyedeh Ghazal Shobairian; Hans Dieter Schotten (Hrsg.)

    Wireless Body Area Networks in Healthcare: Evolution, Challenges, and Pathways to Innovation

    European Conference on Cyber Warfare and Security (ECCWS-2025), Kaiserslautern, Germany, Academic Conferences, 10/2025.

  9. Ari Z Klein; Tirthankar Dasgupta; Lauren Gryboski; Sudeshna Jana; Sedigh Khademi; Guillermo Lopez-Garcia; Diego Mazzotti; Takeshi Onishi; Jeanne Powell; Lisa Raithel; Swati Rajwal; Roland Roller; Abeed Sarker; Manjira Sinha; Philippe Thomas; Elena Tutubalina; Dongfang Xu; Pierre Zweigenbaum; Graciela Gonzalez-Hernandez

    Overview of the 10th Social Media Mining for Health (# SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ICWSM 2025

    In: Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media. Joint Social Media Mining for Health and Health Real-World Data Workshop and Shared Tasks (SMM4H-HeaRD-2025), located at ICWSM 2025, June 23, Copenhagen, Denmark, AAAI, 6/2025.

  10. Ibrahim Baroud; Lisa Raithel; Sebastian Möller; Roland Roller

    Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts

    In: Proceedings of the Sixth Workshop on Privacy in Natural Language Processing. Workshop on Privacy in Natural Language Processing (PrivateNLP-2025), located at NAACL, May 4, Pages 75-85, ISBN 979-8-89176-246-6, Association for Computational Linguistics, 2025.

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