| Fair and argumentative language modeling for computational argumentation C Holtermann, A Lauscher, SP Ponzetto ACL 2022, 2022 | 16 | 2022 |
| Evaluating the elementary multilingual capabilities of large language models with MultiQ C Holtermann, P Röttger, T Dill, A Lauscher arXiv preprint arXiv:2403.03814, 2024 | 4 | 2024 |
| What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition C Holtermann, M Frohmann, N Rekabsaz, A Lauscher EACL 2024, 2024 | 1 | 2024 |
| ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale M Frohmann, C Holtermann, S Masoudian, A Lauscher, N Rekabsaz arXiv preprint arXiv:2310.01217, 2023 | 1 | 2023 |
| Why do LLaVA Vision-Language Models Reply to Images in English? M Hinck, C Holtermann, ML Olson, F Schneider, S Yu, A Bhiwandiwalla, ... arXiv preprint arXiv:2407.02333, 2024 | | 2024 |
| Data from the paper: Fair and Argumentative Language Modeling for Computational Argumentation C Holtermann, A Lauscher, SP Ponzetto | | 2022 |
