Tomasz Limisiewicz

According to our database, Tomasz Limisiewicz authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Teaching LLMs at Charles University: Assignments and Activities.

Jindrich Helcl, Zdenek Kasner, Ondrej Dusek, Tomasz Limisiewicz, Dominik Machácek, Tomás Musil, Jindrich Libovický

CoRR, 2024

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith

CoRR, 2024

Debiasing Algorithm through Model Adaptation.

Tomasz Limisiewicz, David Marecek, Tomás Musil

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.

Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling.

Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation.

Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, David Marecek

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages.

Tomasz Limisiewicz, Jirí Balhar, David Marecek

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

2022

You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models.

Tomasz Limisiewicz, Dan Malkin, Gabriel Stanovsky

CoRR, 2022

Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information.

Tomasz Limisiewicz, David Marecek

CoRR, 2022

A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank.

Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes.

Tomasz Limisiewicz, David Marecek

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Introducing Orthogonal Constraint in Structural Probes.

Tomasz Limisiewicz, David Marecek

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Gender Coreference and Bias Evaluation at WMT 2020.

Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky

Proceedings of the Fifth Conference on Machine Translation, 2020

Syntax Representation in Word Embeddings and Neural Networks - A Survey.

Tomasz Limisiewicz, David Marecek

Proceedings of the 20th Conference Information Technologies, 2020

Universal Dependencies according to BERT: both more specific and more general.

Tomasz Limisiewicz, David Marecek, Rudolf Rosa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020