Tomasz Limisiewicz

Orcid: 0000-0003-3809-2580

According to our database1, Tomasz Limisiewicz authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling.
CoRR, 2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.
CoRR, 2024

2023
Debiasing Algorithm through Model Adaptation.
CoRR, 2023

Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation.
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.
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.
CoRR, 2022

Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information.
CoRR, 2022

A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Introducing Orthogonal Constraint in Structural Probes.
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.
Proceedings of the Fifth Conference on Machine Translation, 2020

Syntax Representation in Word Embeddings and Neural Networks - A Survey.
Proceedings of the 20th Conference Information Technologies, 2020

Universal Dependencies according to BERT: both more specific and more general.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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