Kokos Kogkalidis
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
ext-kokos.kogkalidis@aalto.fi
Palkinnot
EuroProofNet STSM
Neural Premise Selection for Agda
Granted funding (public project funding)
Department of Computer Science
Jan 2023
E. W. Beth Dissertation Prize
Award or honor granted for a specific work
Department of Computer Science
Jan 2024
Tutkimusryhmät
- Professorship Garg Vikas, Postdoctoral Researcher
- Professorship Garg Vikas, Visitor (Faculty)
Julkaisut
Algebraic Positional Encodings
Kokos Kogkalidis, Jean-Philippe Bernardy, Vikas Garg
2025
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
On Tables with Numbers, with Numbers
Konstantinos Kogkalidis, Stergios Chatzikyriakidis
2025
Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC 2025)
Learning Structure-Aware Representations of Dependent Types
Kokos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy
2024
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
OYXOY : A Modern NLP Test Suite for Modern Greek
Konstantinos Kogkalidis, Stergios Chatzikyriakidis, Eirini Chrysovalantou Giannikouri, Christina Klironomou, Christina Koula, Thelka Pasparaki, Efthymia Sakellariou, Vasiliki Katsouli, Dimitris Papadakis, Erofili Psaltaki, Hara Soupiona
2024
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024
Nominal Class Assignment in Swahili : A Computational Account
Giada Palmieri, Kokos Kogkalidis
2024
Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Pisa, Italy, December 4-6, 2024
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
Kokos Kogkalidis, Michael Moortgat
2023
Proceedings of the 2023 CLASP Conference on Learning with Small Data
Improving BERT Pretraining with Syntactic Supervision
Giorgos Tziafas, Kokos Kogkalidis, Gijs Wijnholds, Michael Moortgat
2023
Proceedings of the 2023 CLASP Conference on Learning with Small Data