Classifier Probes May Just Learn from Linear Context Features. - Jenny Kunz; Marco Kuhlmann (COLING, 2020)

Test Harder than You Train: Probing with Extrapolation Splits. - Jenny Kunz; Marco Kuhlmann (BlackboxNLP@EMNLP, 2021)

Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions. - Jenny Kunz; Martin Jirenius; Oskar Holmström; Marco Kuhlmann (BlackboxNLP@EMNLP, 2022)

Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers. - Jenny Kunz; Marco Kuhlmann (COLING, 2022)

A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models. - Marc Braun; Jenny Kunz (EACL (Student Research Workshop), 2024)

The Impact of Language Adapters in Cross-Lingual Transfer for NLU. - Jenny Kunz; Oskar Holmström (CoRR, 2024)

Properties and Challenges of LLM-Generated Explanations. - Jenny Kunz; Marco Kuhlmann (CoRR, 2024)

Train More Parameters But Mind Their Placement: Insights into Language Adaptation with PEFT. - Jenny Kunz (CoRR, 2024)

Understanding Large Language Models: Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation. - Jenny Kunz (2024)

How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters. - Romina Oji; Jenny Kunz (CoRR, 2025)