Michael Peter Hoffmann
Orcid: 0000-0001-5003-5138
According to our database1,
Michael Peter Hoffmann authored at least 11 papers
between 2023 and 2026.
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Bibliography
2026
System-Level Energy Profiling of Wafer-Scale AI Systems: Characterizing Non-Accelerator Overheads in the Cerebras CS-2 System.
Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning.
CoRR, November, 2025
CoRR, September, 2025
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Temporal Robustness in Hate Speech Detection: Updating German Classifiers with Advanced AI Infrastructures.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
From Text to Text Game: A Novel RAG Approach to Gamifying Anthropological Literature and Build Thick Games.
Proceedings of the 17th International Conference on Computer Supported Education, 2025
2024
Malinowski in the Age of AI: Can large language models create a text game based on an anthropological classic?
Proceedings of the 21th International Conference on Culture and Computer Science: from Humanism to Digital Humanities, 2024
Exploring the Suitability of the Cerebras Wafer Scale Engine for the Fast Prototyping of a Multilingual Hate Speech Detection System.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024
2023
Multilingual Hate Speech Detection: Comparison of Transfer Learning Methods to Classify German, Italian, and Spanish Posts.
Proceedings of the IEEE International Conference on Big Data, 2023