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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/62224
Title: Zero-shot automatic assignment grading with large language models
Authors: Pakutnik, D.
Keywords: материалы конференций;large language models;LLM
Issue Date: 2025
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/62224
Appears in Collections:ИТС 2025

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