activity
20202026
most citedUniversal Dependencies according to BERT: both more specific and more general

5 citations · 9 across the 13 of their papers we have counts for

collaborators

16 papers

cs.CL2026

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark

Uri Katz, Omer Goldman, Tomasz Limisiewicz +2

We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish. Despite Yiddish's rich textual tradition, its limited digital presence and…

cs.CL2025

Beyond Literal Token Overlap: Token Alignability for Multilinguality

Katharina Hämmerl, Tomasz Limisiewicz, Jindřich Libovický +1

Previous work has considered token overlap, or even similarity of token distributions, as predictors for multilinguality and cross-lingual knowledge transfer in language models. Ho…

cs.CL2024★ 1 cited

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

Orevaoghene Ahia, Sachin Kumar, Hila Gonen +4

In multilingual settings, non-Latin scripts and low-resource languages are usually disadvantaged in terms of language models' utility, efficiency, and cost. Specifically, previous…

cs.CL2024★ 1 cited

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

Tomasz Limisiewicz, Terra Blevins, Hila Gonen +2

A major consideration in multilingual language modeling is how to best represent languages with diverse vocabularies and scripts. Although contemporary text encoding methods cover…

cs.CL2024

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

Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan +4

Despite their popularity in non-English NLP, multilingual language models often underperform monolingual ones due to inter-language competition for model parameters. We propose Cro…

cs.CL2023

Debiasing Algorithm through Model Adaptation

Tomasz Limisiewicz, David Mareček, Tomáš Musil

Large language models are becoming the go-to solution for the ever-growing number of tasks. However, with growing capacity, models are prone to rely on spurious correlations stemmi…