Здравствуйте. На Ваш запрос предлагаем следующие издания (источники: Академия Google, НЭБ eLibrary, БД ВИНИТИ, ИПС Google):
1. Aguado Gonz?lez Nicol?s. LLM-based automated grading and assessment of student submissions in an academic context : bachelor thesis / University of the Basque Country, 2025. – Электронная копия доступна на сайте addi.ehu.es/. URL:
https://addi.ehu.es/bitstream/handle/10810/78541/TFGNicolasAguado.pdf?sequence=2&isAllowed=y (дата обращения: 01.04.2026)
2. An Evaluation System for Large Language Models based on Open-Ended Questions / Zhiyuan Cao, Zeyu Ma, Mingang Chen et al. // 11th International Conference on Cyber Security and Cloud Computing (CSCloud). – Shanghai, 2024. – P. 65-72 : ill., tabl. – Bibliogr: 25 ref. – Электронная копия доступна на сайте ieexplore.ieee.org/. URL:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10605143 (дата обращения: 01.04.2026)
3. Applying machine learning in science assessment: a systematic review / Xiaoming Zhai, Yue Yin, James W. Pellegrino et al. // Studies in Science Education. – 2020. – Vol. 56, N 1. – P. 111-151. – Электронная копия доступна на сайте tandfonline.com/. URL:
https://www.tandfonline.com/doi/abs/10.1080/03057267.2020.1735757 (дата обращения: 01.04.2026)
4. Automated essay scoring and revising based on open-source large language models / Yishen Song, Qianta Zhu, Huaibo Wang, Qinhua Zheng // IEEE Transactions on learning technologies. – 2024. – Vol. 17. – P. 1880-1890 : ill., tabl. – Bibliogr.: 50 ref. – Электронная копия доступна на сайте ieexplore.ieee.org/. URL:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10520824 (дата обращения: 01.04.2026)
5. Jauhiainen J.S. Educational evaluation with large language models (LLMs): ChatGPT-4 in recalling and evaluating students' written responses / J.S Jauhiainen, A.B.G. Guerra // Journal of Information Technology Education: Innovations in Practice. – 2025. – Vol. 24. – P. 1-15. – Электронная копия доступна на сайте журнала. URL:
https://jite.org/documents/Vol24/JITE-IIPv24Art002Jauhiainen11203.pdf (дата обращения: 01.04.2026)
6. Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course / Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan et al. // Conference on Empirical Methods in Natural Language Processing : proc. – Miami, Florida, USA, 2024. – P. 2489-2513. – Электронная копия доступна на сайте aclanthology.org/. URL:
https://aclanthology.org/2024.emnlp-main.146.pdf (дата обращения: 01.04.2026)
7. Large Language Model-supported Intelligent Evaluation of Open-ended Tasks: Case Studies and Reflections Based on SOU / Donghua Lin, Zhihui Wei, Ruifang Hope Sun, Qing Liu et al. // 7th International Conference on Computer Science and Technologies in Education (CSTE). – Wuhan, China. – 2025. – Электронная копия доступна на сайте ieexplore.ieee.org/. URL:
https://ieeexplore.ieee.org/abstract/document/11091932 (дата обращения: 01.04.2026)
8. Mazzullo E. Automated Feedback Generation for Open-Ended Questions: Insights from Fine-Tuned LLMs / E. Mazzullo, O. Bulut ; University of Alberta // Proceedings of Machine Learning Research. – Edmonton, 2024. – P. 1-18 : ill.
9. On the effectiveness of LLMs for automatic grading of open-ended questions in Spanish / G. Capdehourat, I. Amigo, B. Lorenzo, J. Trigo // International Journal of Artificial Intelligence in Education. – 2025. – N 3. – P. 1-27 : ill. – Bibliogr.: 29 ref. – Электронная копия доступна на сайте arXiv.org/. URL:
https://arxiv.org/pdf/2503.18072 (дата обращения: 01.04.2026)
10. Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses / An Subin, Ji Yugyeong, Kim Junyoung et al // Conference on Empirical Methods in Natural Language Processing: Industry Track : proc. – 2025. – P. 9633-982. – Электронная копия доступна на сайте aclanthology.org/. URL:
https://aclanthology.org/2025.emnlp-industry.65.pdf (дата обращения: 01.04.2026)
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