Труды КНЦ (Технические науки вып.3/2025(16))
Труды Кольского научного центра РАН. Серия: Технические науки. 2025. Т. 16, № 3. С. 56-70. Transactions of the Kola Science Centre of RAS. Series: Engineering Sciences. 2025. Vol. 16, No. 3. P. 56-70. 22. Свидетельство о государственной регистрации программыдля ЭВМ№ 2025682172 Российская Федерация. Программа автоматической генерации тестов и проверки знаний в научно-исследовательской деятельности / А. А. Зуенко, А. В. Шестаков; заявл. 31.07.2025; опубл. 21.08.2025. References 1. Bol'shaya yazykovaya model' [Large language model]. (In Russ.). Available at: https://ru.wikipedia.org/wiki/%D0% 91%D0%BE%D0%BB%D1%8C%D1%88%D0%B0%D1%8F_%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE %D0%B2%D0%B0%D1%8F_%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D1%8C (accessed 01. 10.2025). 2. Gao Y. et al. Retrieval-Augmented Generation for Large Language Models: A Survey. arXiv:2312.10997 [cs], 2023. 3. Elicit: The AI ResearchAssistant. Available at: https://support.elicit.com/en/categories/146369 (accessed 01.04.2025). 4. Semantic ScholarAPI Tutorial. Available at: https://www.semanticscholar.org/product/api/tutorial (accessed 12.09.2025). 5. IBM Watson Discovery. Available at: https://www.ibm.com/products/watson-discovery (accessed 03.09.2025). 6. A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science. arXiv:2412.15404 [cs], 2024. 7. LitLLM: A Toolkit for Scientific Literature Review. arXiv:2402.01788 [cs], 2024. 8. OpenAlex: Technical Documentation. Available at: https://docs.openalex.org/ (accessed 10.01.2025). 9. Learning to Ask: Neural Question Generation for Reading Comprehension. arXiv:1705.00106 [cs], 2017. 10. LSTM-seti dolgoy kratkosrochnoy pamyati [LSTM-Long Short-TermMemory networks]. (In Russ.). Available at: https://habr.com/ru/companies/wunderfund/articles/331310/ (accessed 10.01.2025). 11. Rajpurkar P. et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text. Proceedings o f the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016, pp. 2383-2392. 12. NguyenT. et al. MSMARCO: AHumanGeneratedMachineReadingComprehensionDataset. arXiv:1611.09268 [cs], 2016. 13. Pennington J. et al. GloVe: Global Vectors for Word Representation. Proceedings o f the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp. 1532-1543. 14. Mysore S. et al. AClimb: Annotating andAnalyzing Clarification in Conversational Search. arXiv:2406.03397 [cs], 2024. 15. r O u GE (metric). Available at: https://en.wikipedia.org/wiki/ROUGE_(metric ) (accessed 10.01.2025). 16. Oleynik A. G. et al. Ob ispol'zovanii RAG-tekhnologii dlya issledovatel'skogo poiska v spravochnyh i normativnyh tekstah [On the use of RAG technology for research search in reference and regulatory texts]. Trudy Kol'skogo nauchnogo centra RAN. Seriya: Tehnicheskie nauki [Proceedings o f the Kola Science Centre o f the Russian Academy o f Sciences. Series: Engineering Sciences], 2024, vol. 15, no 3, pp. 5-26. (In Russ.). 17. Faiss: A Library for Efficient Similarity Search. Available at: https://faiss.ai/ (accessed 01.11.2024). 18. Yandex FoundationModels. Available at: https://yandex.doud/ru/docs/foundation-models/ (accessed 20.03.2025). 19. GigaChat API. Available at: https://developers.sber.ru/docs/ru/gigachat/api/overview (accessed 20.07.2025). 20. Langchain Introduction. Available at: https://python.langchain.com/docs/introduction/ (accessed 01.11.2024). 21. Russell S., Norvig P. Iskusstvennyy intellekt: sovremennyy podkhod [Artificial Intelligence:AModern Approach]. Moscow, Williams Publ., 2021, 1416 p. (In Russ.). 22. Certificate of state registrationofthe computerprogramNo. 2025682172 RussianFederation. Programma avtomaticheskoy generatsii testov iproverki znaniy v nauchno-issledovatel'skoy deyatel'nosti [Programfor automatic test generation and knowledge testing in research activities]. A. A. Zuenko, A. V. Shestakov, declared 31.07.2025, published 21.08.2025. Информация об авторах А. В. Шестаков — аспирант, стажер-исследователь; А. А. Зуенко — кандидат технических наук, ведущий научный сотрудник. Information about the authors A. V. Shestakov — Graduate Student, Intern Researcher; A. A. Zuenko — Candidate of Science (Tech.), Leading Scientific Officer. Статья поступила в редакцию 01.11.2025; одобрена после рецензирования 24.11.2025; принята к публикации 28.11.2025. The article was submitted 01.11.2025; approved after reviewing 24.11.2025; accepted for publication 28.11.2025. 70 © Шестаков А. В., Зуенко А. А., 2025
Made with FlippingBook
RkJQdWJsaXNoZXIy MTUzNzYz