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cs.CL2026
Probing Factual Knowledge Transfer with Training Data Interventions
Romina Oji, Marc Braun, Marcel Bollmann +2
Do multilingual language models transfer factual knowledge across languages during continued pretraining, or do they mostly recall facts learned directly from the target-language d…
cs.CL2025
Outgrowing the Curse of Multilinguality: Scaling Strategies for Efficient Language Adaptation
Kevin Glocker, Kätriin Kukk, Romina Oji +3
Training high-performing language models which include medium- and lower-resource languages remains a challenge. Massively multilingual models still underperform language-specific…
cs.CL2025
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters
Romina Oji, Jenny Kunz
This paper investigates the optimal use of the multilingual encoder model mDeBERTa for tasks in three Germanic languages -- German, Swedish, and Icelandic -- representing varying l…