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  1. 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 …

  2. 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 …

  3. 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 …

  4. Tom Kocmi; Eleftherios Avramidis; Rachel Bawden; Ondvrej Bojar; Anton Dvorkovich; Christian Federmann; Mark Fishel; Markus Freitag; Thamme Gowda; Roman Grundkiewicz; Barry Haddow; Marzena Karpinska; Philipp Koehn; Benjamin Marie; Christof Monz; Kenton Murray; Masaaki Nagata; Martin Popel; Maja Popovic; Mariya Shmatova; Steinþór Steingrímsson; Vilém Zouhar

    Findings of the WMT24 General Machine Translation Shared Task: The LLM Era is Here but MT is Not Solved Yet

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

  5. Rishu Kumar; Aiden Williams; Claudia Borg; Simon Ostermann

    UoM-DFKI submission to the low resource shared task

    In: Elizabeth Salesky; Marcello Federico; Marine Carpuat (Hrsg.). Proceedings of the 21st International Conference on Spoken Language Translation …

  6. Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse

    Proactive conformance checking: An approach for predicting deviations in business processes

    In: Information Systems (IS), Vol. 102461, Springer, 2024.

  7. Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing

    In: Andrea Marrella; Manuel Resinas; Mieke Jans; Michael Rosemann (Hrsg.). Business Process Management Forum. Business Process Management (BPM-2024), …

  8. A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

  9. BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and Bloom’s Taxonomy

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive …