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Comparability, evaluation and benchmarking of large pre-trained language models
Comparability, evaluation and benchmarking of large pre-trained language models
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Aßenmacher, Matthias
2021
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Aßenmacher, Matthias (2021): Comparability, evaluation and benchmarking of large pre-trained language models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics
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DOI: 10.5282/edoc.28766
URN: urn:nbn:de:bvb:19-287667

Item Type:Theses (Dissertation, LMU Munich)
Subjects:000 Computers, Information and General Reference
000 Computers, Information and General Reference > 004 Data processing computer science
Faculties:Faculty of Mathematics, Computer Science and Statistics
Language:English
Date of oral examination:13. October 2021
1. Referee:Heumann, Christian
MD5 Checksum of the PDF-file:32784652a2bb144f83e7f1a40dc47738
Signature of the printed copy:0001/UMC 28311
ID Code:28766
Deposited On:12. Nov 2021 12:55
Last Modified:12. Nov 2021 12:55
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