Jenny Kunz

According to our database, Jenny Kunz authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Jenny Kunz, Anja Jarochenko, Marcel Bollmann

CoRR, March, 2026

Training Models on Dialects of Translationese Shows How Lexical Diversity and Source-Target Syntactic Similarity Shape Learning.

Jenny Kunz

CoRR, February, 2026

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

Jenny Kunz

CoRR, February, 2026

2025

Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation.

Kevin Glocker, Kätriin Kukk, Romina Oji, Marcel Bollmann, Marco Kuhlmann, Jenny Kunz

CoRR, December, 2025

A Diagnostic Benchmark for Sweden-Related Factual Knowledge.

Jenny Kunz

CoRR, October, 2025

Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese.

Jenny Kunz, Iben Nyholm Debess, Annika Simonsen

CoRR, October, 2025

How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters.

Romina Oji, Jenny Kunz

Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, 2025

Train More Parameters But Mind Their Placement: Insights into Language Adaptation with PEFT.

Jenny Kunz

Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, 2025

Only for the Unseen Languages, Say the Llamas: On the Efficacy of Language Adapters for Cross-lingual Transfer in English-centric LLMs.

Julian Schlenker, Jenny Kunz, Tatiana Anikina, Günter Neumann, Simon Ostermann

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024

Understanding Large Language Models: Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation.

Jenny Kunz

PhD thesis, 2024

Properties and Challenges of LLM-Generated Explanations.

Jenny Kunz, Marco Kuhlmann

CoRR, 2024

The Impact of Language Adapters in Cross-Lingual Transfer for NLU.

Jenny Kunz, Oskar Holmström

CoRR, 2024

A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models.

Marc Braun, Jenny Kunz

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers.

Jenny Kunz, Marco Kuhlmann

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions.

Jenny Kunz, Martin Jirenius, Oskar Holmström, Marco Kuhlmann

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Test Harder than You Train: Probing with Extrapolation Splits.

Jenny Kunz, Marco Kuhlmann

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Classifier Probes May Just Learn from Linear Context Features.

Jenny Kunz, Marco Kuhlmann

Proceedings of the 28th International Conference on Computational Linguistics, 2020