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  1. Sabine Janzen; Hannah Stein; Sebastian Baer

    GRASPER: Leveraging Knowledge Graphs for Predictive Supply Chain Analytics

    In: Proceedings of International Workshop on AI Services and Applications (AISA’2024) at 43th International Conference on Conceptual Modeling (ER). …

  2. German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect

    In: Saad Mahamood; Nguyen Le Minh; Daphne Ippolito (Hrsg.). Proceedings of the 17th International Natural Language Generation Conference. …

  3. Lotfy Abdel Kaliq; Sabine Janzen; Wolfgang Maaß

    Unleashing the Unpredictable: Generating Context-Driven Synthetic Black Swans

    In: Proceedings of Forty-Fifth International Conference on Information Systems. International Conference on Information Systems (ICIS-2024), December …

  4. Adaptive Knowledge Distillation for Efficient Domain-Specific Language Models.

    In: Women in Machine Learning Workshop (WiML 2024) at NeurIPS. Neural Information Processing Systems (NeurIPS-2024), 19th Women in Machine Learning …

  5. Matthias Klusch; Jörg Lässig; Daniel Müssig; Antonio Macaluso; Frank K. Wilhelm

    Quantum Artificial Intelligence: A Brief Survey

    In: . (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der …

  6. Markus Freitag; Nitika Mathur; Daniel Deutsch; Chi-kiu Lo; Eleftherios Avramidis; Ricardo Rei; Brian Thompson; Frederic Blain; Tom Kocmi; Jiayi Wang; David Ifeoluwa Adelani; Marianna Buchicchio; Chrysoula Zerva; Alon Lavie

    Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task

    In: Philipp Koehn; Barry Haddow; Tom Kocmi; Christof Monz (Hrsg.). Proceedings of the Ninth Conference on Machine Translation. Conference on Machine …

  7. Hierarchical Cell-Free Massive MIMO for High Capacity with Simple Implementation

    In: 2024 IEEE International Conference on Communications. IEEE International Conference on Communications (ICC-2024), June 9-13, Denver, USA, IEEE, …

  8. Vid2Cuts: A Framework for Enabling AI-Guided Grapevine Pruning

    In: IEEE Access (IEEE), Vol. 12, Pages 5814-5836, IEEE, 1/2024.

  9. Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. International Conference on Computer Vision and Pattern Recognition …