Zobrazeno 1 - 10
of 860
pro vyhledávání: '"A Pokrywka"'
Large Language Models (LLMs) have demonstrated significant potential in handling specialized tasks, including medical problem-solving. However, most studies predominantly focus on English-language contexts. This study introduces a novel benchmark dat
Externí odkaz:
http://arxiv.org/abs/2412.00559
The detection of suicide risk in social media is a critical task with potential life-saving implications. This paper presents a study on leveraging state-of-the-art natural language processing solutions for identifying suicide risk in social media po
Externí odkaz:
http://arxiv.org/abs/2410.08375
Publikováno v:
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. \'Sl\k{e}zak (eds). ACSIS, Vol. 35, pages 1331-1336 (2023)
Multimodal models, which combine visual and textual information, have recently gained significant recognition. This paper addresses the multimodal challenge of Text-Image retrieval and introduces a novel task that extends the modalities to include te
Externí odkaz:
http://arxiv.org/abs/2410.06314
Autor:
Pokrywka, Jakub
Publikováno v:
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. \'Sl\k{e}zak (eds). ACSIS, Vol. 35, pages 1251-1254 (2023)
Speech recognition systems typically output text lacking punctuation. However, punctuation is crucial for written text comprehension. To tackle this problem, Punctuation Prediction models are developed. This paper describes a solution for Poleval 202
Externí odkaz:
http://arxiv.org/abs/2410.04621
Autor:
Pokrywka, Jakub
Publikováno v:
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. \'Sl\k{e}zak (eds). ACSIS, Vol. 35, pages 1265-1269 (2023)
Passage Retrieval has traditionally relied on lexical methods like TF-IDF and BM25. Recently, some neural network models have surpassed these methods in performance. However, these models face challenges, such as the need for large annotated datasets
Externí odkaz:
http://arxiv.org/abs/2410.04620
This paper explores Minimum Bayes Risk (MBR) decoding for self-improvement in machine translation (MT), particularly for domain adaptation and low-resource languages. We implement the self-improvement process by fine-tuning the model on its MBR-decod
Externí odkaz:
http://arxiv.org/abs/2405.11937
Introduction: Recently, the effectiveness of Large Language Models (LLMs) has increased rapidly, allowing them to be used in a great number of applications. However, the risks posed by the generation of false information through LLMs significantly li
Externí odkaz:
http://arxiv.org/abs/2405.01589
Publikováno v:
Biology of Sport, Vol 34, Iss 1, Pp 45-48 (2016)
The purpose of this study was to determine a typical reference range for the population of athletes. Results of blood tests of 339 athletes (82 women and 257 men, aged 18-37 years) were retrospectively analysed. The subjects were representatives of d
Externí odkaz:
https://doaj.org/article/898acbb56b8d4686a5045c8af89c6949
Overrepresentation of the COL3A1 AA genotype in Polish skiers with anterior cruciate ligament injury
Autor:
M Stępień-Słodkowska, K Ficek, A Maciejewska-Karłowska, M Sawczuk, P Ziętek, P Król, P Zmijewski, A Pokrywka, P Cięszczyk
Publikováno v:
Biology of Sport, Vol 32, Iss 2, Pp 143-147 (2015)
Although various intrinsic and extrinsic risk factors for anterior cruciate ligament (ACL) rupture have been identified, the exact aetiology of the injury is not yet fully understood. Type III collagen is an important factor in the repair of connecti
Externí odkaz:
https://doaj.org/article/e65b6b956d264404964311d8e85a917e
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
The presence of a doping substance in an athlete's biological sample may not be only related to intentional pharmacological support. The unintended use of a prohibited substance may be due various reasons. This paper describes the case of a Polish ca
Externí odkaz:
https://doaj.org/article/f24758de3bda44c49068edc114d4305b