LLMs prompted with few-shot examples and rationales generate better reasoned distractors for MCQs than fine-tuned contrastive models across six benchmarks.
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The paper presents a curriculum-grounded LLM-as-Judge pipeline for question-level marking that assembles authorized syllabus artifacts to generate rubrics and evaluate student responses.
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LLM-as-Judge in Education: A Curriculum-Grounded Marking Pipeline
The paper presents a curriculum-grounded LLM-as-Judge pipeline for question-level marking that assembles authorized syllabus artifacts to generate rubrics and evaluate student responses.