| Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models N Thakur, N Reimers, A Rücklé, A Srivastava, I Gurevych arXiv preprint arXiv:2104.08663, 2021 | 1562 | 2021 |
| AdapterFusion: Non-Destructive Task Composition for Transfer Learning J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych EACL 2021, 2020 | 1197 | 2020 |
| AdapterHub: A Framework for Adapting Transformers J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych EMNLP 2020, System Demonstrations, 2020 | 848 | 2020 |
| Adapterdrop: On the efficiency of adapters in transformers A Rücklé, G Geigle, M Glockner, T Beck, J Pfeiffer, N Reimers, I Gurevych EMNLP 2021, 2020 | 334 | 2020 |
| Text processing like humans do: Visually attacking and shielding nlp systems S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... NAACL 2019, 1634-1647, 2019 | 207 | 2019 |
| Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations A Rücklé, S Eger, M Peyrard, I Gurevych arXiv preprint arXiv:1803.01400, 2018 | 138 | 2018 |
| What to Pre-Train on? Efficient Intermediate Task Selection C Poth, J Pfeiffer, A Rücklé, I Gurevych EMNLP 2021, 2021 | 121 | 2021 |
| Scigen: a dataset for reasoning-aware text generation from scientific tables NS Moosavi, A Rücklé, D Roth, I Gurevych Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 69 | 2021 |
| MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale A Rücklé, J Pfeiffer, I Gurevych EMNLP 2020, 2020 | 38 | 2020 |
| Improved Cross-Lingual Question Retrieval for Community Question Answering A Rücklé, K Swarnkar, I Gurevych WWW 2019, 3179-3186, 2019 | 38 | 2019 |
| Representation learning for answer selection with lstm-based importance weighting A Rücklé, I Gurevych IWCS 2017, 2017 | 30 | 2017 |
| TWEAC: transformer with extendable QA agent classifiers G Geigle, N Reimers, A Rücklé, I Gurevych arXiv preprint arXiv:2104.07081, 2021 | 29 | 2021 |
| Learning to reason for text generation from scientific tables NS Moosavi, A Rücklé, D Roth, I Gurevych arXiv preprint arXiv:2104.08296, 2021 | 26 | 2021 |
| Pitfalls in the Evaluation of Sentence Embeddings S Eger, A Rücklé, I Gurevych Repl4NLP 2019, 2019 | 26* | 2019 |
| End-to-end non-factoid question answering with an interactive visualization of neural attention weights A Rücklé, I Gurevych ACL 2017, System Demonstrations, 2017 | 26 | 2017 |
| COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data A Rücklé, NS Moosavi, I Gurevych AAAI 2019, 6932-6939, 2019 | 23 | 2019 |
| Improving QA generalization by concurrent modeling of multiple biases M Wu, NS Moosavi, A Rücklé, I Gurevych Findings of EMNLP 2020, 2020 | 19 | 2020 |
| Neural Duplicate Question Detection without Labeled Training Data A Rücklé, NS Moosavi, I Gurevych EMNLP 2019, 1607-1617, 2019 | 18 | 2019 |
| LSDSem 2017: Exploring data generation methods for the story cloze test M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, T Martin, ... LSDSem Workshop 2017, 56-61, 2017 | 14 | 2017 |
| Improving generalization by incorporating coverage in natural language inference NS Moosavi, PA Utama, A Rücklé, I Gurevych arXiv preprint arXiv:1909.08940, 2019 | 7 | 2019 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
