I am a final year PhD student at the University of Würzburg, Germany, and advised by Goran Glavaš (University of Würzburg) and Ivan Vulić (University of Cambridge). I am interested in robust and scalable cross-lingual transfer in the field of Natural Language Processing. Before that, I obtained my B.Sc. in Finance and interned at Goldman Sachs in London. Next to my research, I sometimes contribute to open source projects like telescope.nvim. You can find more info on my CV.

News

September, 2024I have started my 3 months research internship on massively multilingual spoken language understanding with David Adelani at Mila, Montreal.
June, 2024Our paper Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages is out! This was joint work with Philipp Borchert, Ivan Vulić, and Goran Glavaš during my research visit in Cambridge.
May, 2024I will be doing a research visit in the Language Technology Lab at the University of Cambridge hosted by Ivan Vulić!
Jan, 2024I started my 4-month internship at NEC Laboratories Europe with Chia-Chien Hung and Carolin Lawrence.
Oct, 2023Our paper "One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer" was accepted to Findings of EMNLP!
Sep, 2023I gave an invited talk about my work on robust and scalable cross-lingual transfer at the Language Science and Technology department of Uni Saarland.

Publications

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
Fabian David Schmidt, Ivan Vulić, Goran Glavaš.
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing
EMNLP
 
LONG
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer
Fabian David Schmidt, Ivan Vulić, Goran Glavaš.
Findings of the 2023 Conference on Empirical Methods in Natural Language Processing
EMNLP
 
SHORT
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Fabian David Schmidt, Ivan Vulić, Goran Glavaš.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
ACL
 
LONG
Don’t Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models
Fabian David Schmidt, Ivan Vulić, Goran Glavaš.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
EMNLP
 
LONG
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition
Fabian David Schmidt, Ivan Vulić, Goran Glavaš.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
EMNLP
 
SHORT
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval
Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
EMNLP
 
DEMO