Learning Explanations from Language Data. - David Harbecke; Robert Schwarzenberg; Christoph Alt (BlackboxNLP@EMNLP, 2018)

Train, Sort, Explain: Learning to Diagnose Translation Models. - Robert Schwarzenberg; David Harbecke; Vivien Macketanz; Eleftherios Avramidis; Sebastian Möller 001 (NAACL-HLT (Demonstrations), 2019)

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. - Robert Schwarzenberg; Marc Hübner; David Harbecke; Christoph Alt; Leonhard Hennig (TextGraphs@EMNLP, 2019)

Neural Vector Conceptualization for Word Vector Space Interpretation. - Robert Schwarzenberg; Lisa Raithel; David Harbecke (CoRR, 2019)

Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling. - David Harbecke; Christoph Alt (ACL (student), 2020)

Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling. - David Harbecke (CoRR, 2021)

Multilingual Relation Classification via Efficient and Effective Prompting. - Yuxuan Chen; David Harbecke; Leonhard Hennig (EMNLP, 2022)

Why only Micro-F1? Class Weighting of Measures for Relation Classification. - David Harbecke; Yuxuan Chen; Leonhard Hennig; Christoph Alt (CoRR, 2022)

Evaluating the Robustness of Adverse Drug Event Classification Models using Templates. - Dorothea MacPhail; David Harbecke; Lisa Raithel; Sebastian Möller 001 (BioNLP@ACL, 2024)

Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution. - Tatiana Anikina; Arne Binder; David Harbecke; Stalin Varanasi; Leonhard Hennig; Simon Ostermann 002; Sebastian Möller 001; Josef van Genabith (CoRR, 2025)