| Evaluating generative models for graph-to-text generation S Yuan, M Färber Proceedings of the 14th International Conference on Recent Advances in …, 2023 | 9 | 2023 |
| Separating hate speech and offensive language classes via adversarial debiasing S Yuan, A Maronikolakis, H Schütze Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 1-10, 2022 | 6 | 2022 |
| Biases in scholarly recommender systems: impact, prevalence, and mitigation M Färber, M Coutinho, S Yuan Scientometrics 128 (5), 2703-2736, 2023 | 3 | 2023 |
| GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network S Yuan, E Nie, M Färber, H Schmid, H Schütze arXiv preprint arXiv:2402.11709, 2024 | 2 | 2024 |
| 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 Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 2 | 2024 |
| Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code H Béchara, R Zhang, S Yuan, S Jankin 2022 IEEE International Conference on Big Data (Big Data), 3472-3477, 2022 | 1 | 2022 |
| GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism S Yuan, M Färber Findings of NAACL 2024, 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 |
Michael FärberScaDS.AI & TU DresdenVerified email at tu-dresden.de
