Active Learning by Acquiring Contrastive Examples K Margatina, G Vernikos, L Barrault, N Aletras EMNLP 2021, 2021 | 134 | 2021 |
Challenges and strategies in cross-cultural NLP D Hershcovich, S Frank, H Lent, M de Lhoneux, M Abdou, S Brandl, ... ACL 2022, 2022 | 80* | 2022 |
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning K Margatina, L Barrault, N Aletras ACL 2022, 2022 | 40* | 2022 |
Attention-based conditioning methods for external knowledge integration K Margatina, C Baziotis, A Potamianos ACL 2019, 2019 | 36 | 2019 |
Frustratingly simple pretraining alternatives to masked language modeling A Yamaguchi, G Chrysostomou, K Margatina, N Aletras EMNLP 2021, 2021 | 26 | 2021 |
Active learning principles for in-context learning with large language models K Margatina, T Schick, N Aletras, J Dwivedi-Yu arXiv preprint arXiv:2305.14264, 2023 | 21 | 2023 |
NTUA-SLP at IEST 2018: Ensemble of neural transfer methods for implicit emotion classification A Chronopoulou, A Margatina, C Baziotis, A Potamianos WASSA 2018 (EMNLP), 2018 | 19 | 2018 |
Domain Adversarial Fine-Tuning as an Effective Regularizer G Vernikos, K Margatina, A Chronopoulou, I Androutsopoulos EMNLP 2020 (Findings), 2020 | 9 | 2020 |
On the Limitations of Simulating Active Learning K Margatina, N Aletras ACL 2023 (Findings), 2023 | 7 | 2023 |
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views K Margatina, S Wang, Y Vyas, NA John, Y Benajiba, M Ballesteros EACL 2023, 2023 | 5 | 2023 |
Investigating Multi-source Active Learning for Natural Language Inference A Snijders, D Kiela, K Margatina EACL 2023, 2023 | 5 | 2023 |
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models HR Kirk, A Whitefield, P Röttger, A Bean, K Margatina, J Ciro, R Mosquera, ... arXiv preprint arXiv:2404.16019, 2024 | | 2024 |
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? A Alajrami, K Margatina, N Aletras arXiv preprint arXiv:2310.17271, 2023 | | 2023 |
Proceedings of the First Workshop on Dynamic Adversarial Data Collection M Bartolo, H Kirk, P Rodriguez, K Margatina, T Thrush, R Jia, P Stenetorp, ... DADC 2022 (NAACL), 2022 | | 2022 |
Transfer Learning and Attention-based Conditioning Methods for Natural Language Processing Α Μαργατίνα | | 2019 |