| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1209 | 2023 |
| OpenBioLink: a benchmarking framework for large-scale biomedical link prediction A Breit, S Ott, A Agibetov, M Samwald Bioinformatics 36 (13), 4097-4098, 2020 | 55 | 2020 |
| Bigbio: A framework for data-centric biomedical natural language processing J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ... Advances in Neural Information Processing Systems 35, 25792-25806, 2022 | 41 | 2022 |
| SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models S Ott, C Meilicke, M Samwald 3rd Conference on Automated Knowledge Base (AKBC) 2021, 2021 | 31 | 2021 |
| A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks K Blagec, A Barbosa-Silva, S Ott, M Samwald Scientific Data 9 (1), 322, 2022 | 26 | 2022 |
| Pharmacogenomics decision support in the U-PGx project: Results and advice from clinical implementation across seven European countries K Blagec, JJ Swen, R Koopmann, KC Cheung, ... PloS one 17 (6), e0268534, 2022 | 25 | 2022 |
| ThoughtSource: A central hub for large language model reasoning data S Ott, K Hebenstreit, V Liévin, CE Hother, M Moradi, M Mayrhauser, ... Scientific Data 10 (1), 528, 2023 | 23 | 2023 |
| Mapping global dynamics of benchmark creation and saturation in artificial intelligence S Ott, A Barbosa-Silva, K Blagec, J Brauner, M Samwald Nature Communications 13 (1), 6793, 2022 | 21* | 2022 |
| A global analysis of metrics used for measuring performance in natural language processing K Blagec, G Dorffner, M Moradi, S Ott, M Samwald arXiv preprint arXiv:2204.11574, 2022 | 14 | 2022 |
| Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR. S Ott, C Rinner, G Duftschmid dHealth, 226-233, 2019 | 12 | 2019 |
| Dataset debt in biomedical language modeling JA Fries, N Seelam, G Altay, L Weber, M Kang, D Datta, R Su, S Garda, ... Challenges {\&} Perspectives in Creating Large Language Models, 2022 | 6 | 2022 |
| Evaluation of transformer architectures for electrical load time-series forecasting M Hertel, S Ott, B Schäfer, R Mikut, V Hagenmeyer, O Neumann Proceedings 32. Workshop Computational Intelligence 1, 93, 2022 | 3 | 2022 |
| Transformer neural networks for building load forecasting M Hertel, S Ott, B Schäfer, R Mikut, V Hagenmeyer, O Neumann Tackling Climate Change with Machine Learning: Workshop at NeurIPS, 2022 | 3 | 2022 |
| Rule-based knowledge graph completion with canonical models S Ott, P Betz, D Stepanova, MH Gad-Elrab, C Meilicke, H Stuckenschmidt Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs S Ott, A Barbosa-Silva, M Samwald Bioinformatics 38 (8), 2371-2373, 2022 | 1 | 2022 |
| PyClause-Simple and efficient rule handling for knowledge graph L Galarraga, S Ott, P Betz, C Meilicke, FM Suchanek, H Stuckenschmidt tba, 1-3, 2024 | | 2024 |
| Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs S Ott, L Graf, A Agibetov, C Meilicke, M Samwald arXiv preprint arXiv:2012.05750, 2020 | | 2020 |
| Knowledge Graphs and their Applications in Civil Security S Ott, D Liakhovets, M Schütz, M Andresel, M Bartha, S Schlarb, ... | | |
