Zobrazeno 1 - 10
of 3 462
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
Autor:
Biedrzycka, Agnieszka
Publikováno v:
Krakowskie Pismo Kresowe / Cracovian Kresy’s Journal. (09):193-204
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=732774
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780190245115.001.0001/acref-9780190245115-e-58883
Autor:
Tadeusz Szczurek, Arkadiusz Michalak
Publikováno v:
Castrum Lubenov. Tragiczne dzieje średniowiecznej wieży w Lubrzy / Castrum Lubenov. The tragic history of the medieval tower in Lubrza ISBN: 9788366579217
Twenty-two coins were found in the area of the motte-and-bailey castle in Lubrza; 13 of them are discussed in this article (the remaining are German emissions from the twentieth century along with an early Modern Era German dish pfennig). Twelve coin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68656dd6d2c423073b5ea08f2b318103
https://doi.org/10.33547/lubenov2022.11
https://doi.org/10.33547/lubenov2022.11