| On the stability of fine-tuning BERT: Misconceptions, explanations, and strong baselines M Mosbach, M Andriushchenko, D Klakow ICLR 2021, 2021 | 434 | 2021 |
| LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders P BehnamGhader, V Adlakha, M Mosbach, D Bahdanau, N Chapados, ... COLM 2024, 2024 | 137 | 2024 |
| Adapting pre-trained language models to African languages via multilingual adaptive fine-tuning JO Alabi, DI Adelani, M Mosbach, D Klakow 🏆 Best Paper Award 🏆 COLING 2022, 2022 | 124 | 2022 |
| Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation M Mosbach, T Pimentel, S Ravfogel, D Klakow, Y Elazar ACL 2023 (Findings), 2023 | 119 | 2023 |
| Logit pairing methods can fool gradient-based attacks M Mosbach, M Andriushchenko, T Trost, M Hein, D Klakow NeurIPS 2018 - Workshop on Security in Machine Learning, 2018 | 83 | 2018 |
| On the interplay between fine-tuning and sentence-level probing for linguistic knowledge in pre-trained transformers M Mosbach, A Khokhlova, MA Hedderich, D Klakow EMNLP 2020 (Findings), 2020 | 53 | 2020 |
| Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ... arXiv preprint arXiv:2207.14251, 2022 | 46 | 2022 |
| MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow NAACL 2022, 2022 | 34 | 2022 |
| Weaker Than You Think: A Critical Look at Weakly Supervised Learning D Zhu, X Shen, M Mosbach, A Stephan, D Klakow 🏆 Best Paper Award 🏆 ACL 2023, 2023 | 21 | 2023 |
| Fusion Models for Improved Image Captioning M Kalimuthu, A Mogadala, M Mosbach, D Klakow Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 21 | 2021 |
| Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study BM Abdullah, M Mosbach, I Zaitova, B Möbius, D Klakow Interspeech 2021, 2021 | 16 | 2021 |
| On the Security Relevance of Initial Weights in Deep Neural Networks K Grosse, TA Trost, M Mosbach, M Backes, D Klakow Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 14* | 2020 |
| StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes A Deshpande, D Ruiter, M Mosbach, D Klakow Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 2022 | 13 | 2022 |
| Graph-based argument quality assessment E Saveleva, V Petukhova, M Mosbach, D Klakow Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 12 | 2021 |
| incom. py-A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages M Mosbach, I Stenger, T Avgustinova, D Klakow Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 10 | 2019 |
| The impact of demonstrations on multilingual in-context learning: A multidimensional analysis M Zhang, V Gautam, M Wang, JO Alabi, X Shen, D Klakow, M Mosbach ACL 2024 (Findings), 2024 | 8 | 2024 |
| Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures J Steuer, M Mosbach, D Klakow 🏆 Best Paper Award 🏆 BabyLM workshop 2023, 2023 | 8 | 2023 |
| Some steps towards the generation of diachronic WordNets Y Bizzoni, M Mosbach, D Klakow, S Degaetano-Ortlieb Proceedings of the 22nd Nordic conference on computational linguistics, 55-64, 2019 | 8 | 2019 |
| Artefact retrieval: Overview of NLP models with knowledge base access V Zouhar, M Mosbach, D Biswas, D Klakow arXiv preprint arXiv:2201.09651, 2022 | 6 | 2022 |
| A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English M Mosbach, S Degaetano-Ortlieb, MP Krielke, BM Abdullah, D Klakow COLING 2020, 2020 | 6 | 2020 |
Dietrich KlakowSaarland University, Saarland Informatics Campus, PharmaScienceHublsv.uni-saarland.de의 이메일 확인됨