Zobrazeno 1 - 10
of 3 413
pro vyhledávání: '"A. Strzałkowski"'
Autor:
Bhaumik, Ankita, Strzalkowski, Tomek
Large language models (LLMs) have demonstrated impressive performance in mathematical and commonsense reasoning tasks using chain-of-thought (CoT) prompting techniques. But can they perform emotional reasoning by concatenating `Let's think step-by-st
Externí odkaz:
http://arxiv.org/abs/2408.04906
The identification of Figurative Language (FL) features in text is crucial for various Natural Language Processing (NLP) tasks, where understanding of the author's intended meaning and its nuances is key for successful communication. At the same time
Externí odkaz:
http://arxiv.org/abs/2406.08218
Autor:
Dziedzic, Marcin
Publikováno v:
Śląski Kwartalnik Historyczny Sobótka / The Sobótka Silesian Historical Quarterly. 75(3):196-198
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1077620
Autor:
Dziedzic, Marcin
Publikováno v:
Śląski Kwartalnik Historyczny Sobótka / The Sobótka Silesian Historical Quarterly. 74(2):176-184
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1079201
Publikováno v:
2024.lrec-main.1476
The behavior and decision making of groups or communities can be dramatically influenced by individuals pushing particular agendas, e.g., to promote or disparage a person or an activity, to call for action, etc.. In the examination of online influenc
Externí odkaz:
http://arxiv.org/abs/2405.00821
Autor:
Strzałkowski, Andrzej1 (AUTHOR) andrzejsn44@gmail.com
Publikováno v:
Theory & Practice of Legislation. Oct2024, p1-36. 36p. 8 Illustrations.
Autor:
Szczecina, Grzegorz Kamil
Publikováno v:
Roczniki Teologiczne / Annals of Theology. 64(4):185-192
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=564934
Autor:
Szczecina, Grzegorz Kamil
Publikováno v:
Roczniki Teologiczne / Annals of Theology. 64(4EV):176-181
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=703904
Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics. Systematic analysis of the message traffic can provide valuable insights into prevailing opinions and social dynam
Externí odkaz:
http://arxiv.org/abs/2402.15571
Autor:
Pisano, Matthew, Ly, Peter, Sanders, Abraham, Yao, Bingsheng, Wang, Dakuo, Strzalkowski, Tomek, Si, Mei
Research into AI alignment has grown considerably since the recent introduction of increasingly capable Large Language Models (LLMs). Unfortunately, modern methods of alignment still fail to fully prevent harmful responses when models are deliberatel
Externí odkaz:
http://arxiv.org/abs/2312.00029