| " My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models X Wang, B Ma, C Hu, L Weber-Genzel, P Röttger, F Kreuter, D Hovy, ... arXiv preprint arXiv:2402.14499, 2024 | 4 | 2024 |
| Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding B Ma, E Nie, H Schmid, H Schütze KONVENS 2023, 2023 | 4 | 2023 |
| Annotation Sensitivity: Training Data Collection Methods Affect Model Performance C Kern, S Eckman, J Beck, R Chew, B Ma, F Kreuter EMNLP 2023 Findings, 2023 | 3 | 2023 |
| ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks B Ma, E Nie, S Yuan, H Schmid, M Färber, F Kreuter, H Schütze EACL 2024, 2024 | 2 | 2024 |
| Logistic Regression and Ridge Classifier MA Xingyu, MA Bolei, F Qi | 2 | 2022 |
| Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity J Beck, S Eckman, B Ma, R Chew, F Kreuter Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024 …, 2024 | 1 | 2024 |
| Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models Z Zhang, H Yang, B Ma, D Rügamer, E Nie CoNLL 2023 BabyLM Challenge, 2023 | 1 | 2023 |
| Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think X Wang, C Hu, B Ma, P Röttger, B Plank arXiv preprint arXiv:2404.08382, 2024 | | 2024 |
| Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models E Nie, S Yuan, B Ma, H Schmid, M Färber, F Kreuter, H Schütze arXiv preprint arXiv:2402.18397, 2024 | | 2024 |
| Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers S Yuan, E Nie, B Ma, M Färber arXiv preprint arXiv:2402.11700, 2024 | | 2024 |
| Proteasomal cleavage prediction: state-of-the-art and future directions I Ziegler, B Ma, B Bischl, E Dorigatti, B Schubert bioRxiv, 2023.07. 17.549305, 2023 | | 2023 |
| What cleaves? Is proteasomal cleavage prediction reaching a ceiling? I Ziegler, B Ma, E Nie, B Bischl, D Rügamer, B Schubert, E Dorigatti NeurIPS 2022 Workshop LMRL, 2022 | | 2022 |
| Veranstaltungen 15. Wissenschaftliche Tagung am 20. und 21. Juni 2024 J Beck, B Ma, S Eckman, C Kern, F Kreuter | | |
| Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science M Maskey, L Bat-Leah, D Brajovic, P Climaco, A Parrish, C Park, X Yao, ... ICLR 2024 Workshops, 0 | | |
