| Fair and argumentative language modeling for computational argumentation C Holtermann, A Lauscher, SP Ponzetto ACL 2022, 2022 | 19 | 2022 |
| Evaluating the elementary multilingual capabilities of large language models with MultiQ C Holtermann, P Röttger, T Dill, A Lauscher ACL Findings 2024, 2024 | 18 | 2024 |
| Why do LLaVA Vision-Language Models Reply to Images in English? M Hinck, C Holtermann, ML Olson, F Schneider, S Yu, A Bhiwandiwalla, ... EMNLP Findings 2024, 2024 | 3 | 2024 |
| What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition C Holtermann, M Frohmann, N Rekabsaz, A Lauscher EACL Findings 2024, 2024 | 3 | 2024 |
| Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model G Geigle, F Schneider, C Holtermann, C Biemann, R Timofte, A Lauscher, ... arXiv preprint arXiv:2501.05122, 2025 | 1 | 2025 |
| ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale M Frohmann, C Holtermann, S Masoudian, A Lauscher, N Rekabsaz ACL Findings 2024, 2023 | 1 | 2023 |
| GIMMICK--Globally Inclusive Multimodal Multitask Cultural Knowledge Benchmarking F Schneider, C Holtermann, C Biemann, A Lauscher arXiv preprint arXiv:2502.13766, 2025 | | 2025 |
| Data from the paper: Fair and Argumentative Language Modeling for Computational Argumentation C Holtermann, A Lauscher, SP Ponzetto | | 2022 |