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Markus Frohmann
Markus Frohmann
Verified email at jku.at
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Year
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
182023
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
M Frohmann, I Sterner, I Vuliĉ, B Minixhofer, M Schedl
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
22024
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition
C Holtermann, M Frohmann, N Rekabsaz, A Lauscher
Findings of the Association for Computational Linguistics: EACL 2024, 1138–1157, 2024
22024
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
M Frohmann, C Holtermann, S Masoudian, A Lauscher, N Rekabsaz
Findings of the Association for Computational Linguistics: ACL 2024, 11743–11776, 2024
12024
Detecting Synthetic Lyrics with Few-Shot Inference
Y Labrak, G Meseguer-Brocal, EV Epure
arXiv preprint arXiv:2406.15231, 2024
12024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
S Masoudian, M Frohmann, N Rekabsaz, M Schedl
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
2024
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