Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Piasecki, Maciej"'
The BEIR dataset is a large, heterogeneous benchmark for Information Retrieval (IR) in zero-shot settings, garnering considerable attention within the research community. However, BEIR and analogous datasets are predominantly restricted to the Englis
Externí odkaz:
http://arxiv.org/abs/2305.19840
Autor:
Kocoń, Jan, Cichecki, Igor, Kaszyca, Oliwier, Kochanek, Mateusz, Szydło, Dominika, Baran, Joanna, Bielaniewicz, Julita, Gruza, Marcin, Janz, Arkadiusz, Kanclerz, Kamil, Kocoń, Anna, Koptyra, Bartłomiej, Mieleszczenko-Kowszewicz, Wiktoria, Miłkowski, Piotr, Oleksy, Marcin, Piasecki, Maciej, Radliński, Łukasz, Wojtasik, Konrad, Woźniak, Stanisław, Kazienko, Przemysław
Publikováno v:
Information Fusion 101861 (2023)
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionized the approach in artificial intelligence to human-model interaction. Several publications on ChatGPT evaluation test its effectiveness on well-known natural l
Externí odkaz:
http://arxiv.org/abs/2302.10724
Autor:
Augustyniak, Łukasz, Tagowski, Kamil, Sawczyn, Albert, Janiak, Denis, Bartusiak, Roman, Szymczak, Adrian, Wątroba, Marcin, Janz, Arkadiusz, Szymański, Piotr, Morzy, Mikołaj, Kajdanowicz, Tomasz, Piasecki, Maciej
Publikováno v:
Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2022) - https://lepiszcze.ml
The availability of compute and data to train larger and larger language models increases the demand for robust methods of benchmarking the true progress of LM training. Recent years witnessed significant progress in standardized benchmarking for Eng
Externí odkaz:
http://arxiv.org/abs/2211.13112
Autor:
Bartusiak, Roman, Augustyniak, Łukasz, Kajdanowicz, Tomasz, Kazienko, Przemysław, Piasecki, Maciej
A complex nature of big data resources demands new methods for structuring especially for textual content. WordNet is a good knowledge source for comprehensive abstraction of natural language as its good implementations exist for many languages. Sinc
Externí odkaz:
http://arxiv.org/abs/1606.03335
Publikováno v:
In Procedia Computer Science 2021 192:1071-1080
Autor:
Kubica, Jacek, Banach, Maciej, Adamski, Piotr, Budaj, Andrzej, Buszman, Piotr, Di Somma, Salvatore, Gabulova, Rahima, Gajda, Robert, Gurbel, Paul A., Kosobucka-Ozdoba, Agata, Konarski, Jacek, Kubica, Aldona, Magielski, Przemysław, Niezgoda, Piotr, Ostrowska, Małgorzata, Piasecki, Maciej, Rahimov, Uzeyir, Tantry, Udaya, Umińska, Julia M., Navarese, Eliano P.
Publikováno v:
Medical Research Journal (2451-2591); 2024, Vol. 9 Issue 1, p90-95, 6p
Akademický článek
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Publikováno v:
Cognitive Studies | Études cognitives. (18):1-20
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=739823
Autor:
Piasecki, Maciej, Dziob, Agnieszka
Publikováno v:
Cognitive Studies | Études cognitives. (18):1-25
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=739819
Publikováno v:
Cybernetics and Information Technologies, Vol 18, Iss 1, Pp 152-170 (2018)
This paper presents a supervised approach to the recognition of Cross-document Structure Theory (CST) relations in Polish texts. Its core is a graph-based representation constructed for sentences. Graphs are built on the basis of lexicalised syntacti
Externí odkaz:
https://doaj.org/article/37f609a8b3f04bbd9aa066c6fa38148d