| AdapterHub: A Framework for Adapting Transformers J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych EMNLP 2020, 2020 | 682 | 2020 |
| What to Pre-Train on? Efficient Intermediate Task Selection C Poth, J Pfeiffer, A Rücklé, I Gurevych EMNLP 2021, 2021 | 110 | 2021 |
| Adapters: A unified library for parameter-efficient and modular transfer learning C Poth, H Sterz, I Paul, S Purkayastha, L Engländer, T Imhof, I Vulić, ... EMNLP 2023, 2023 | 47 | 2023 |
| UKP-SQUARE: An Online Platform for Question Answering Research T Baumgärtner, K Wang, R Sachdeva, M Eichler, G Geigle, C Poth, ... ACL 2022, 2022 | 8* | 2022 |
| Leveraging diffusion-based image variations for robust training on poisoned data L Struppek, MB Hentschel, C Poth, D Hintersdorf, K Kersting arXiv preprint arXiv:2310.06372, 2023 | 7 | 2023 |
| Ml mob at semeval-2023 task 5:“breaking news: Our semi-supervised and multi-task learning approach spoils clickbait” H Sterz, L Bongard, T Werner, C Poth, M Hentschel Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 5 | 2023 |
| M2qa: Multi-domain multilingual question answering L Engländer, H Sterz, C Poth, J Pfeiffer, I Kuznetsov, I Gurevych arXiv preprint arXiv:2407.01091, 2024 | 4 | 2024 |
| ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation C Poth, M Hentschel, T Werner, H Sterz, L Bongard Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 2 | 2023 |
Jonas PfeifferResearch Scientist, Google DeepMindgoogle.com의 이메일 확인됨