| Predicting the price of Bitcoin using sentiment-enriched time series forecasting M Frohmann, M Karner, S Khudoyan, R Wagner, M Schedl Big Data and Cognitive Computing 7 (3), 137, 2023 | 11 | 2023 |
| What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition C Holtermann, M Frohmann, N Rekabsaz, A Lauscher arXiv preprint arXiv:2401.12756, 2024 | 2 | 2024 |
| Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation M Frohmann, I Sterner, I Vulić, B Minixhofer, M Schedl arXiv preprint arXiv:2406.16678, 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 |
| Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization S Masoudian, M Frohmann, N Rekabsaz, M Schedl arXiv preprint arXiv:2409.19541, 2024 | | 2024 |
