Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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Descriptions of all publications and articles available in the repository can be found in the libraryâs electronic catalog. Staff and students can log in via the menu "Login -> My Resource Archive" using their personal account credentials (SSAU_id).
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| Title: | Имитация понимания научных текстов искусственным интеллектом |
| Other Titles: | |
| Authors: | Абрамова Н. И. |
| Keywords: | LLM большие языковые модели искусственный интеллект понимание научного текста |
| Issue Date: | 2025 |
| Publisher: | Publisher |
| Citation: | Абрамова, Н. И. Имитация понимания научных текстов искусственным интеллектом / Н. И. Абрамова // Человек в информационном обществе : сб. материалов третьей междунар. науч.-практ. конф., посвящ. 80-летию Победы в Великой Отеч. войне (23–26 апр. 2025 г., г. Самара) / Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т) ; редкол.: А. Ю. Нестеров (пред.), Н. В. Авдошина [и др.]. - Самара : Изд-во Самар. ун-та, 2025. - С. 792-795. |
| Abstract: | В статье проводится сопоставление «ступеней» процедуры понимания по В. Кюнне и О. Шольцу с возможностями больших языковых моделей. |
| ISBN: | |
| ISSN: | |
| ISMN: | |
| Other Identifiers: | RU\НТБ СГАУ\580615 |
| Appears in Collections: | Человек в информационном обществе |
| File | Size | Format | |
|---|---|---|---|
| 978-5-7883-2209-4_2025-792-795.pdf | 598.6 kB | Adobe PDF | View/Open |
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