Prof. Dr. Alexander Fraser
Academic Career and Research Areas
Alexander Fraser is renowned for his work in machine learning approaches to machine translation, language modeling, and multilingual natural language processing. He focuses on addressing data sparsity and integrating linguistic and world knowledge in AI systems. Additionally, he collaborates with language communities to develop technology for their languages. His contributions to natural language processing and machine learning emphasize both theoretical advancements and practical applications.
Prof. Fraser acquired his doctoral degree in 2007 at University of Southern California in computer science. From 2007 to 2013 he was at the University of Stuttgart. From 2013 to 2024 he was at LMU Munich, first as a tenured lecturer and then from 2017 as the Professor of Information and Language Processing. He received the ERC Starting Grant in 2014, and an ERC Proof of Concept Grant in 2022. He is Chair for Data Analytics & Statistics at the Technical University of Munich since 2024, and is also a PI of the Munich Center for Machine Learning.
Awards
- European Research Council Advanced Grant - Reserve List (2023)
- European Research Council Proof of Concept - Data for Multilingual Learning (2022)
- PI Munich Center for Machine Learning
- PI EU FP7 Project Health in my Language (HimL)
- European Research Council Starting Grant - Domain Adaptation for Statistical Machine Translation (2014)
Key Publications (all publications)
Marion Weller-Di Marco, Alexander Fraser (2024). Analyzing the Understanding of Morphologically Complex Words in Large Language Models. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 1009-1020, Torino, Italy, May.
AbstractViktor Hangya, Alexander Fraser (2024). How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8307-8322, Torino, Italy, May.
AbstractWen Lai, Alexandra Chronopoulou, Alexander Fraser (2023). Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation. Findings of the Association for Computational Linguistics: EMNLP 2023, pages 14279-14294, Singapore, December.
AbstractAlexandra Chronopoulou, Matthew Peters, Alexander Fraser, Jesse Dodge (2023). AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. In Findings of the Association for Computational Linguistics: EACL 2023, pages 2054–2063, Dubrovnik, Croatia, May.
AbstractKatharina Hämmerl, Bjoern Deiseroth, Patrick Schramowski, Jindřich Libovický, Constantin Rothkopf, Alexander Fraser, Kristian Kersting (2023). Speaking Multiple Languages Affects the Moral Bias of Language Models. In Findings of the Association for Computational Linguistics: ACL 2023, pages 2137-2156, Toronto, Canada, July.
Abstract