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Jakub Pokrywka
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2020 – today
- 2024
- [i5]Jakub Pokrywka, Jeremi Kaczmarek, Edward Jacek Gorzelanczyk:
GPT-4 passes most of the 297 written Polish Board Certification Examinations. CoRR abs/2405.01589 (2024) - [i4]Jakub Pokrywka:
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders. CoRR abs/2410.04620 (2024) - [i3]Jakub Pokrywka:
Punctuation Prediction for Polish Texts using Transformers. CoRR abs/2410.04621 (2024) - [i2]Jakub Pokrywka, Piotr Wierzchon, Kornel Weryszko, Krzysztof Jassem:
Temporal Image Caption Retrieval Competition - Description and Results. CoRR abs/2410.06314 (2024) - [i1]Jakub Pokrywka, Jeremi Kaczmarek, Edward Jacek Gorzelanczyk:
Evaluating Transformer Models for Suicide Risk Detection on Social Media. CoRR abs/2410.08375 (2024) - 2023
- [c11]Jakub Pokrywka, Marcin Biedalak, Filip Gralinski, Krzysztof Biedalak:
Modeling Spaced Repetition with LSTMs. CSEDU (2) 2023: 88-95 - [c10]Jakub Pokrywka, Krzysztof Jassem, Piotr Wierzchon, Piotr Badylak, Grzegorz Kurzyp:
Reranking for a Polish Medical Search Engine. FedCSIS 2023: 297-302 - [c9]Jakub Pokrywka:
Punctuation Prediction for Polish Texts using Transformers. FedCSIS 2023: 1251-1254 - [c8]Jakub Pokrywka:
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders. FedCSIS 2023: 1265-1269 - [c7]Jakub Pokrywka, Piotr Wierzchon, Kornel Weryszko, Krzysztof Jassem:
Temporal Image Caption Retrieval Competition - Description and Results. FedCSIS 2023: 1331-1336 - 2022
- [c6]Jakub Pokrywka:
Efficient GPU Training of a Diversified Model Ensemble for the Crowdsensing-based Road Damage Detection Challenge (CRDDC2022). IEEE Big Data 2022: 6424-6430 - [c5]Jakub Pokrywka:
Gradient Boosted Trees for Privacy-Preserving Matching of Encrypted Images. IEEE Big Data 2022: 6466-6470 - [c4]Jakub Pokrywka:
YOLO with High Dataset Augmentation for Vehicle Class and Orientation Detection. IEEE Big Data 2022: 6500-6506 - [c3]Karol Kaczmarek, Jakub Pokrywka, Filip Gralinski:
Using Transformer models for gender attribution in Polish. FedCSIS 2022: 73-77 - [c2]Jakub Pokrywka, Filip Gralinski:
Temporal Language Modeling for Short Text Document Classification with Transformers. FedCSIS 2022: 121-128 - [c1]Jakub Pokrywka, Filip Gralinski, Krzysztof Jassem, Karol Kaczmarek, Krzysztof Jurkiewicz, Piotr Wierzchon:
Challenging America: Modeling language in longer time scales. NAACL-HLT (Findings) 2022: 737-749
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last updated on 2024-11-19 21:48 CET by the dblp team
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