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Tomasz Limisiewicz
Tomasz Limisiewicz
Ph.D. Candidate, Institute of Formal and Applied Linguistics, Charles University, Prague, Czech
Verified email at ufal.mff.cuni.cz
Title
Cited by
Cited by
Year
Bloom: A 176b-parameter open-access multilingual language model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
4602022
Gender coreference and bias evaluation at wmt 2020
T Kocmi, T Limisiewicz, G Stanovsky
arXiv preprint arXiv:2010.06018, 2020
282020
Universal dependencies according to BERT: both more specific and more general
T Limisiewicz, R Rosa, D Mareček
arXiv preprint arXiv:2004.14620, 2020
112020
A balanced data approach for evaluating cross-lingual transfer: Mapping the linguistic blood bank
D Malkin, T Limisiewicz, G Stanovsky
arXiv preprint arXiv:2205.04086, 2022
82022
Introducing orthogonal constraint in structural probes
T Limisiewicz, D Mareček
arXiv preprint arXiv:2012.15228, 2020
72020
Syntax Representation in Word Embeddings and Neural Networks--A Survey
T Limisiewicz, D Mareček
arXiv preprint arXiv:2010.01063, 2020
62020
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information
T Limisiewicz, D Mareček
arXiv preprint arXiv:2206.10744, 2022
22022
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages
T Limisiewicz, J Balhar, D Mareček
arXiv preprint arXiv:2305.17179, 2023
12023
Ufal submission for sigtyp supervised cognate detection task
T Limisiewicz
Proceedings of the 5th Workshop on Research in Computational Linguistic …, 2023
12023
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models
T Limisiewicz, D Malkin, G Stanovsky
arXiv preprint arXiv:2210.07135, 2022
12022
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
T Limisiewicz, D Mareček
arXiv preprint arXiv:2109.04921, 2021
12021
Hidden in the Layers
D Mareček, J Libovický, R Rosa, T Musil, T Limisiewicz
2020
Interpreting and Controlling Linguistic Features in Neural Networks’ Representations
T Limisiewicz
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