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2020 – today
- 2024
[c11]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman, Shorouq Zahra:
Overview of ELOQUENT 2024 - Shared Tasks for Evaluating Generative Language Model Quality. CLEF (2) 2024: 53-72- [c10]Jussi Karlgren, Aarne Talman:
ELOQUENT 2024 - Topical Quiz Task. CLEF (Working Notes) 2024: 687-690 - [c9]Magnus Sahlgren, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Shorouq Zahra:
ELOQUENT 2024 - Robustness Task. CLEF (Working Notes) 2024: 703-707 - [c8]Janek Bevendorff, Matti Wiegmann, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Efstathios Stamatatos, Martin Potthast, Benno Stein:
Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2024. CLEF (Working Notes) 2024: 2486-2506 - [c7]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman
:
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality. ECIR (5) 2024: 459-465 - [i8]Risto Luukkonen, Jonathan Burdge, Elaine Zosa, Aarne Talman, Ville Komulainen, Väinö Hatanpää, Peter Sarlin, Sampo Pyysalo:
Poro 34B and the Blessing of Multilinguality. CoRR abs/2404.01856 (2024) - 2023
- [c6]Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann:
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. NoDaLiDa 2023: 358-365 - [i7]Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann:
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. CoRR abs/2304.04726 (2023) - 2022
- [c5]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. *SEM@NAACL-HLT 2022: 226-233 - [i6]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. CoRR abs/2201.04467 (2022) - 2021
- [c4]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. NoDaLiDa 2021: 276-287 - [i5]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. CoRR abs/2104.04751 (2021)
2010 – 2019
- 2019
- [j1]Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann:
Sentence embeddings in NLI with iterative refinement encoders. Nat. Lang. Eng. 25(4): 467-482 (2019) - [c3]Aarne Talman, Stergios Chatzikyriakidis:
Testing the Generalization Power of Neural Network Models across NLI Benchmarks. BlackboxNLP@ACL 2019: 85-94 - [c2]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. NODALIDA 2019: 281-290 - [c1]Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki Submissions to the WMT19 News Translation Task. WMT (2) 2019: 412-423 - [i4]Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann:
The University of Helsinki submissions to the WMT19 news translation task. CoRR abs/1906.04040 (2019) - [i3]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. CoRR abs/1908.02262 (2019) - 2018
- [i2]Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann:
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. CoRR abs/1808.08762 (2018) - [i1]Aarne Talman, Stergios Chatzikyriakidis:
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference. CoRR abs/1810.09774 (2018)
Coauthor Index
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last updated on 2024-09-30 21:00 CEST by the dblp team
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