collaborators

6 papers

cs.CL2026

Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness

Pinzhen Chen, Koel Dutta Chowdhury, Xiaoya Xu +20

Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating language pairs as the unit of evaluation---a design that is prone…

cs.CL2026

Is a Document Educational or Just Wikipedia-Style? -- Pitfalls of Classifier-Based Quality Filtering

Mateusz Klimaszewski, Piotr Andruszkiewicz

Classifier-based Quality Filtering has recently emerged as a fundamental technique in constructing pre-training corpora. The ability to deploy a single model that can replace or su…

cs.CL2026

EuroGEST: Investigating gender stereotypes in multilingual language models

Jacqueline Rowe, Mateusz Klimaszewski, Liane Guillou +2

Large language models increasingly support multiple languages, yet most benchmarks for gender bias remain English-centric. We introduce EuroGEST, a dataset designed to measure gend…

cs.CL2026

EuroLLM-22B: Technical Report

Miguel Moura Ramos, Duarte M. Alves, Hippolyte Gisserot-Boukhlef +15

This report presents EuroLLM-22B, a large language model trained from scratch to support the needs of European citizens by covering all 24 official European Union languages and 11…

cs.CL2025

EuroLLM-9B: Technical Report

Pedro Henrique Martins, João Alves, Patrick Fernandes +14

This report presents EuroLLM-9B, a large language model trained from scratch to support the needs of European citizens by covering all 24 official European Union languages and 11 a…

cs.CL2025

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Laurie Burchell, Ona de Gibert, Nikolay Arefyev +32

Training state-of-the-art large language models requires vast amounts of clean and diverse textual data. However, building suitable multilingual datasets remains a challenge. In th…