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20242026
most citedProperties and Challenges of LLM-Generated Explanations

4 citations · 5 across the 8 of their papers we have counts for

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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.CL2026

Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

Lukas Borggren, Jenny Kunz, Marco Kuhlmann

Large language models are increasingly capable in general, but their utility can remain modest in niche or understudied areas. One approach to address this limitation is to special…

cs.CL2026

A Dataset for Probing Translationese Preferences in English-to-Swedish Translation

Jenny Kunz, Anja Jarochenko, Marcel Bollmann

Translations often carry traces of the source language, a phenomenon known as translationese. We introduce the first freely available English-to-Swedish dataset contrasting transla…

cs.CL2026

Preferences for Idiomatic Language are Acquired Slowly -- and Forgotten Quickly: A Case Study on Swedish

Jenny Kunz

In this study, we investigate how language models develop preferences for \textit{idiomatic} as compared to \textit{linguistically acceptable} Swedish, both during pretraining and…

cs.CL2026

Dialects of Translationese Shape Language Model Learning

Jenny Kunz

Machine-translated data is widely used in multilingual NLP, particularly where native text is scarce. However, translated text differs systematically from native text. This phenome…