Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Lucas Jason"'
Publikováno v:
Organization, Technology and Management in Construction: An International Journal, Vol 14, Iss 1, Pp 2539-2558 (2022)
Facility management (FM) requires multidisciplinary activities, and thus has extensive information requirements. Much of that information is created during the design, construction, and commissioning phases of a project. Providing the owner of a faci
Externí odkaz:
https://doaj.org/article/8392c83a18834f18b4096e1a4318c322
Autor:
Artemova, Ekaterina, Lucas, Jason, Venkatraman, Saranya, Lee, Jooyoung, Tilga, Sergei, Uchendu, Adaku, Mikhailov, Vladislav
The rapid proliferation of large language models (LLMs) has increased the volume of machine-generated texts (MGTs) and blurred text authorship in various domains. However, most existing MGT benchmarks include single-author texts (human-written and ma
Externí odkaz:
http://arxiv.org/abs/2411.04032
Autor:
Macko, Dominik, Moro, Robert, Uchendu, Adaku, Srba, Ivan, Lucas, Jason Samuel, Yamashita, Michiharu, Tripto, Nafis Irtiza, Lee, Dongwon, Simko, Jakub, Bielikova, Maria
High-quality text generation capability of recent Large Language Models (LLMs) causes concerns about their misuse (e.g., in massive generation/spread of disinformation). Machine-generated text (MGT) detection is important to cope with such threats. H
Externí odkaz:
http://arxiv.org/abs/2401.07867
Autor:
Lucas, Jason, Uchendu, Adaku, Yamashita, Michiharu, Lee, Jooyoung, Rohatgi, Shaurya, Lee, Dongwon
Recent ubiquity and disruptive impacts of large language models (LLMs) have raised concerns about their potential to be misused (.i.e, generating large-scale harmful and misleading content). To combat this emerging risk of LLMs, we propose a novel "F
Externí odkaz:
http://arxiv.org/abs/2310.15515
Autor:
Macko, Dominik, Moro, Robert, Uchendu, Adaku, Lucas, Jason Samuel, Yamashita, Michiharu, Pikuliak, Matúš, Srba, Ivan, Le, Thai, Lee, Dongwon, Simko, Jakub, Bielikova, Maria
Publikováno v:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
There is a lack of research into capabilities of recent LLMs to generate convincing text in languages other than English and into performance of detectors of machine-generated text in multilingual settings. This is also reflected in the available ben
Externí odkaz:
http://arxiv.org/abs/2310.13606
Publikováno v:
In The Journal of Foot and Ankle Surgery
Akademický článek
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Publikováno v:
In Safety Science February 2023 158
Publikováno v:
Construction Economics & Building. Dec2023, Vol. 23 Issue 3/4, p3-24. 22p.
Autor:
Kaufmann, Ralph M., Lucas, Jason
In [KW14], the new concept of Feynman categories was introduced to simplify the discussion of operad--like objects. In this present paper, we demonstrate the usefulness of this approach, by introducing the concept of decorated Feynman categories. The
Externí odkaz:
http://arxiv.org/abs/1602.00823