---
title: "Tomasz Limisiewicz — author profile and papers in our library"
description: "Tomasz Limisiewicz, University of Washington: 5 papers on Elamur Research (2023–2026), h-index 7 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/tomasz-limisiewicz/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tomasz-limisiewicz/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tomasz Limisiewicz

# Tomasz Limisiewicz

Tomasz Limisiewicz has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/), [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/), [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5016443023) · [**h-index 7**](https://openalex.org/authors/A5016443023) · [45 works](https://openalex.org/works?filter=author.id:A5016443023) · [1,007 citations](https://openalex.org/works?filter=author.id:A5016443023&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/#papers) · [🔗 Cited 1,407 times in our library](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6806](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6806)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tomasz+Limisiewicz) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tomasz+Limisiewicz) · [dblp](https://dblp.org/search?q=Tomasz+Limisiewicz) · [ACL Anthology](https://aclanthology.org/search/?q=Tomasz+Limisiewicz)

## Affiliations

[🎓**University of Washington** Seattle · United States 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Charles University** Prague · Czechia 2020–2025 · 19 papers](https://md.research.elamur.ai/free/en/universities/charles-university/) · [🎓**Hebrew University of Jerusalem** Jerusalem · Israel 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 8 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 3 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Hebrew & Aramaic · 1 work](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/year/2026/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models](https://md.research.elamur.ai/free/en/papers/blevins-2024-breaking-curse-multilinguality-cross-lingual/)** *(2024 · 42 citations)* Multilingual language models fit many languages into one fixed set of parameters, so each language usually ends up weaker than it would be in a dedicated monolingual model.
2. **[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/)** *(2024 · 30 citations)* Byte-level multilingual language models avoid the coverage gaps of subword vocabularies, but they inherit a bias built into UTF-8.
3. **[MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/)** *(2024 · 19 citations)* Byte-level and subword language models usually split non-Latin-script text into many more pieces than English.
4. **[Debiasing Algorithm through Model Adaptation](https://md.research.elamur.ai/free/en/papers/limisiewicz-2023-debiasing-algorithm-through-model-adaptation/)** *(2023 · 10 citations)* Large language models such as LLaMA absorb gender stereotypes from their training data, for example linking occupations like mechanic or nurse with one gender.
5. **[MameLoshnLM: Yiddish Language Model and Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/)** *(2026)* Yiddish has a long written tradition but a small and unreliable presence on the web, so multilingual models handle it poorly and there are few trustworthy ways to measure them.

## All works

11 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations*
2. **[Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models](https://md.research.elamur.ai/free/en/papers/blevins-2024-breaking-curse-multilinguality-cross-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, et al.*2024 · 42 citations*
3. **[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.*2024 · 30 citations*
4. **[MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2024 · 19 citations*
5. [**Debiasing Algorithm through Model Adaptation arXiv:2310.18913**Tomasz Limisiewicz, David Mareček, Tomaš Musil*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/limisiewicz-2023-debiasing-algorithm-through-model-adaptation/)
6. **[Fast Byte Latent Transformer ↗](https://arxiv.org/abs/2605.08044) arXiv (Cornell University) · no summary yet**Julie Kallini et al.*2026 · 1 citation*
7. **[Compute Optimal Tokenization ↗](https://arxiv.org/abs/2605.01188) arXiv (Cornell University) · no summary yet**Tomasz Limisiewicz et al.*2026 · 1 citation*
8. **[Retrofitting language models to operate over bytes ↗](https://doi.org/10.1038/s41586-026-11111-4) Nature · no summary yet**Benjamin Minixhofer et al.*2026 · 1 citation*
9. [**MameLoshnLM: Yiddish Language Model and Evaluation Benchmark arXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026**Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/)
10. **[Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models ↗](https://arxiv.org/abs/2609.12303) arXiv (Cornell University) · no summary yet**Kalyani Marathe et al.*2026*
11. **[Last Translation Benchmark ↗](https://arxiv.org/abs/2609.04173) arXiv:2609.04173 · no summary yet**Vilem Zouhar et al.*2026*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/) ×3
- [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) ×3
- [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) ×2
- [Orevaoghene Ahia](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/) ×2
- [Terra Blevins](https://md.research.elamur.ai/free/en/authors/terra-blevins/) ×2
- [Margaret Li](https://md.research.elamur.ai/free/en/authors/margaret-li/)
- [Omer Goldman](https://md.research.elamur.ai/free/en/authors/omer-goldman/)
- [Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/)
- [Sachin Kumar](https://md.research.elamur.ai/free/en/authors/sachin-kumar/)
- [Suchin Gururangan](https://md.research.elamur.ai/free/en/authors/suchin-gururangan/)
- [Uri Katz](https://md.research.elamur.ai/free/en/authors/uri-katz/)
- [Valentin Hofmann](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Nature

## Cited by

Papers of our library cite their works 1,407 times (of the 149,439 papers whose bibliographies we read); [300 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/cited-by/).

Updated 30 October 2026