Fabian David Schmidt

According to our database, Fabian David Schmidt authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks.

Luel Hagos Beyene, Vivek Verma, Min Ma, Jesujoba O. Alabi, Fabian David Schmidt, Joyce Nakatumba-Nabende, David Ifeoluwa Adelani

CoRR, June, 2025

On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks.

Adrian Rebmann, Fabian David Schmidt, Goran Glavas, Han van der Aa

CoRR, April, 2025

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding.

Fabian David Schmidt, Ivan Vulic, Goran Glavas, David Ifeoluwa Adelani

CoRR, January, 2025

News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-Lingual News Recommendation.

Andreea Iana, Fabian David Schmidt, Goran Glavas, Heiko Paulheim

Proceedings of the Advances in Information Retrieval, 2025

MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching.

Fabian David Schmidt, Florian Schneider, Chris Biemann, Goran Glavas

Proceedings of the Findings of the Association for Computational Linguistics, 2025

BABELEDITS: A Benchmark and a Modular Approach for Robust Cross-lingual Knowledge Editing of Large Language Models.

Tommaso Green, Félix Gaschi, Fabian David Schmidt, Simone Paolo Ponzetto, Goran Glavas

Proceedings of the Findings of the Association for Computational Linguistics, 2025

On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures.

Minh Duc Bui, Kyung Eun Park, Goran Glavas, Fabian David Schmidt, Katharina von der Wense

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget.

Minh Duc Bui, Fabian David Schmidt, Goran Glavas, Katharina von der Wense

CoRR, 2024

Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks.

Adrian Rebmann, Fabian David Schmidt, Goran Glavas, Han van der Aa

Proceedings of the 6th International Conference on Process Mining, 2024

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages.

Fabian David Schmidt, Philipp Borchert, Ivan Vulic, Goran Glavas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer.

Fabian David Schmidt, Ivan Vulic, Goran Glavas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging.

Fabian David Schmidt, Ivan Vulic, Goran Glavas

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition.

Fabian David Schmidt, Ivan Vulic, Goran Glavas

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models.

Fabian David Schmidt, Ivan Vulic, Goran Glavas

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2019

SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval.

Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavas

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019