| DC Field | Value | Language |
|---|
| dc.contributor.author | Pakutnik, D. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-12-01T09:05:55Z | - |
| dc.date.available | 2025-12-01T09:05:55Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Pakutnik, D. LLM-based intelligent system for quality control of student assignments / D. Pakutnik // Информационные технологии и системы 2025 (ИТС 2025) : материалы международной научной конференции, Минск, 19 ноября 2025 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2025. – С. 133–134. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/62223 | - |
| dc.description.abstract | This work explores the potential of large language models fo r automated quality control of student assignments
through a human-in-the-loop approach. The proposed LLM-based intelligent system uses the generative abilities of
language models to interact with experts and refine evaluation criteria dynamically. This adaptive process enhances
grading accuracy, consistency, and interpretability, bringing automated assessment closer to human-level quality. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | large language models | en_US |
| dc.subject | automated quality control | en_US |
| dc.subject | LLM | en_US |
| dc.title | LLM-based intelligent system for quality control of student assignments | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ИТС 2025
|
