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%0 Conference Proceedings
%T Benchmarking down-scaled (not so large) pre-trained language models
%A Aßenmacher, Matthias
%A Schulze, Patrick
%A Heumann, Christian
%Y Evang, Kilian
%Y Kallmeyer, Laura
%Y Osswald, Rainer
%Y Waszczuk, Jakub
%Y Zesch, Torsten
%S Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
%D 2021
%8 6–9 sep
%I KONVENS 2021 Organizers
%C Düsseldorf, Germany
%F assenmacher-etal-2021-benchmarking
%U https://aclanthology.org/2021.konvens-1.2
%P 14-27

Markdown (Informal)

[Benchmarking down-scaled (not so large) pre-trained language models](https://aclanthology.org/2021.konvens-1.2) (Aßenmacher et al., KONVENS 2021)

• Benchmarking down-scaled (not so large) pre-trained language models (Aßenmacher et al., KONVENS 2021)

ACL

• Matthias Aßenmacher, Patrick Schulze, and Christian Heumann. 2021. Benchmarking down-scaled (not so large) pre-trained language models. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pages 14–27, Düsseldorf, Germany. KONVENS 2021 Organizers.