Accepted to TMLR, 2026
Recommended citation: Tomasz Limisiewicz, Artidoro Pagnoni, Srini Iyer, Mike Lewis, Sachin Mehta, Alisa Liu, Margaret Li, Gargi Ghosh, and Luke Zettlemoyer (2026). "Compute Optimal Tokenization." TMLR (accepted). Paper
Accepted to COLM, 2026
Recommended citation: Uri Katz, Omer Goldman, Tomasz Limisiewicz, Reut Tsarfaty, and Noah A. Smith (2026). "MameLoshnLM: Yiddish Language Model and Evaluation Benchmark." COLM 2026. Paper
Published in ICML, 2026
Recommended citation: Julie Kallini, Artidoro Pagnoni, Tomasz Limisiewicz, Gargi Ghosh, Luke Zettlemoyer, Christopher Potts, Xiaochuang Han, and Srinivasan Iyer (2026). "Fast Byte Latent Transformer." ICML 2026. Paper
Preprint on arXiv, 2025
Recommended citation: Benjamin Minixhofer, Tyler Murray, Tomasz Limisiewicz, Anna Korhonen, Luke Zettlemoyer, Noah A. Smith, Edoardo M. Ponti, Luca Soldaini, and Valentin Hofmann (2025). "Bolmo: Byteifying the Next Generation of Language Models." arXiv:2512.15586. Paper
Published in ACL, 2024
Recommended citation: Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, and Luke Zettlemoyer (2024). "MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling." ACL 2024. Paper
Published in NeurIPS, 2024
Recommended citation: Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, and Noah A. Smith (2024). "MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization." NeurIPS 2024. Paper
Published in ICLR, 2024
Recommended citation: Tomasz Limisiewicz, David Mareček, and Tomáš Musil (2024). "Debiasing Algorithm through Model Adaptation." ICLR 2024. Paper
Published in IJCNLP and AACL, 2023
Recommended citation: Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, and David Mareček (2023). "Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation." IJCNLP-AACL 2023. Paper
Published in Findings of ACL, 2023
Recommended citation: Tomasz Limisiewicz, Jiří Balhar, and David Mareček (2023). "Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages." Findings of ACL 2023. Paper
Published in NAACL (Awarded Outstanding Paper 🥳), 2022
Recommended citation: Dan Malkin, Tomasz Limisiewicz, and Gabriel Stanovsky (2022). "A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank." NAACL 2022. Paper
Published in GeBNLP, 2022
Recommended citation: Tomasz Limisiewicz and David Mareček (2022). "Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information." GeBNLP 2022. Paper
Published in EMNLP, 2021
Recommended citation: Tomasz Limisiewicz and David Mareček (2021). "Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes." EMNLP 2021. Paper
Published in ACL, 2021
Recommended citation: Tomasz Limisiewicz and David Mareček (2021). "Introducing Orthogonal Constraint in Structural Probes." ACL 2021. Paper
Published in Conference Information Technologies - Applications and Theory, 2020
Recommended citation: Tomasz Limisiewicz and David Mareček (2020). "Syntax Representation in Word Embeddings and Neural Networks – A Survey." ITAT 2020. Paper
Published in Findings of EMNLP, 2020
Recommended citation: Tomasz Limisiewicz, David Mareček, and Rudolf Rosa (2020). "Universal Dependencies According to BERT: Both More Specific and More General." Findings of EMNLP 2020. Paper
Published in WMT, 2020
Recommended citation: Tom Kocmi, Tomasz Limisiewicz, and Gabriel Stanovsky (2020). "Gender Coreference and Bias Evaluation at WMT 2020." WMT 2020. Paper