| Composable Sparse Fine-Tuning for Cross-Lingual Transfer A Ansell, EM Ponti, A Korhonen, I Vulić ACL 2022, 2021 | 135 | 2021 |
| MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer A Ansell, EM Ponti, J Pfeiffer, S Ruder, G Glavaš, I Vulić, A Korhonen Findings of EMNLP 2021, 2021 | 86 | 2021 |
| PolyLM: Learning about Polysemy through Language Modeling A Ansell, F Bravo-Marquez, B Pfahringer EACL 2021, 2021 | 15 | 2021 |
| Scaling Sparse Fine-Tuning to Large Language Models A Ansell, I Vulić, H Sterz, A Korhonen, EM Ponti arXiv preprint arXiv:2401.16405, 2024 | 14 | 2024 |
| An ELMo-inspired approach to SemDeep-5’s Word-in-Context task A Ansell, F Bravo-Marquez, B Pfahringer Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5), 21-25, 2019 | 10 | 2019 |
| Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity A Ansell, M Parović, I Vulić, A Korhonen, E Ponti EMNLP 2023, 2023 | 8 | 2023 |
| Cross-Lingual Transfer with Target Language-Ready Task Adapters M Parović, A Ansell, I Vulić, A Korhonen Findings of ACL 2023, 2023 | 6 | 2023 |
| Distilling Efficient Language-Specific Models for Cross-Lingual Transfer A Ansell, EM Ponti, A Korhonen, I Vulić Findings of ACL 2023, 2023 | 3 | 2023 |
| Contextualised approaches to embedding word senses AJ Ansell The University of Waikato, 2020 | 1 | 2020 |
Ivan VulićGoogle DeepMind & University of CambridgeVerified email at cam.ac.uk
