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Aikaterini Margatina
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2020 – today
- 2024
- [i13]Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew M. Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale:
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. CoRR abs/2404.16019 (2024) - 2023
- [c12]Katerina Margatina, Nikolaos Aletras:
On the Limitations of Simulating Active Learning. ACL (Findings) 2023: 4402-4419 - [c11]Ard Snijders, Douwe Kiela, Katerina Margatina:
Investigating Multi-source Active Learning for Natural Language Inference. EACL 2023: 2179-2201 - [c10]Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros:
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL 2023: 2873-2890 - [c9]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. EMNLP (Findings) 2023: 5011-5034 - [c8]Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras:
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? EMNLP 2023: 9085-9108 - [i12]Ard Snijders, Douwe Kiela, Katerina Margatina:
Investigating Multi-source Active Learning for Natural Language Inference. CoRR abs/2302.06976 (2023) - [i11]Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros:
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. CoRR abs/2302.12297 (2023) - [i10]Katerina Margatina, Nikolaos Aletras:
On the Limitations of Simulating Active Learning. CoRR abs/2305.13342 (2023) - [i9]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. CoRR abs/2305.14264 (2023) - [i8]Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras:
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? CoRR abs/2310.17271 (2023) - 2022
- [c7]Katerina Margatina, Loïc Barrault, Nikolaos Aletras:
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. ACL (2) 2022: 825-836 - [c6]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux
, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello
, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui
, Constanza Fierro, Katerina Margatina, Phillip Rust
, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. ACL (1) 2022: 6997-7013 - [i7]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. CoRR abs/2203.10020 (2022) - 2021
- [c5]Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. EMNLP (1) 2021: 650-663 - [c4]Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. EMNLP (1) 2021: 3116-3125 - [i6]Katerina Margatina, Loïc Barrault, Nikolaos Aletras:
Bayesian Active Learning with Pretrained Language Models. CoRR abs/2104.08320 (2021) - [i5]Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. CoRR abs/2109.01819 (2021) - [i4]Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. CoRR abs/2109.03764 (2021) - 2020
- [c3]Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, Ion Androutsopoulos:
Domain Adversarial Fine-Tuning as an Effective Regularizer. EMNLP (Findings) 2020: 3103-3112 - [i3]Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, Ion Androutsopoulos:
Domain Adversarial Fine-Tuning as an Effective Regularizer. CoRR abs/2009.13366 (2020)
2010 – 2019
- 2019
- [c2]Katerina Margatina, Christos Baziotis, Alexandros Potamianos:
Attention-based Conditioning Methods for External Knowledge Integration. ACL (1) 2019: 3944-3951 - [i2]Katerina Margatina, Christos Baziotis, Alexandros Potamianos:
Attention-based Conditioning Methods for External Knowledge Integration. CoRR abs/1906.03674 (2019) - 2018
- [c1]Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos:
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. WASSA@EMNLP 2018: 57-64 - [i1]Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos:
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. CoRR abs/1809.00717 (2018)
Coauthor Index
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