| DC Field | Value | Language |
|---|
| dc.contributor.author | Pakutnik, D. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-12-01T09:11:43Z | - |
| dc.date.available | 2025-12-01T09:11:43Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Pakutnik, D. Zero-shot automatic assignment grading with large language models / 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. 135–136. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/62224 | - |
| dc.description.abstract | This work proposes a conceptual framework for zero-shot automatic assignment grading using large language models.
The approach employs prompt-based reasoning to generate both grades and explanatory feedback, aiming to improve
scalability, transparency, and pedagogical value in higher education assessment. | 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 | LLM | en_US |
| dc.title | Zero-shot automatic assignment grading with large language models | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ИТС 2025
|
