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Mihai Vlase

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#small language model Open access Sep 2026

RubricAdapt-LLM: Measuring Criterion-Level Adaptation and Score Shifts Under Alternative Grading Rubrics

Background: Large language models are increasingly used for rubric-based grading, but it remains unclear whether they adapt selectively when criterion weights change while the response, criterion definitions, and total score remain fixed. This study examined whether alternative point allocations produce targeted criter...

Cătălin Anghel, A. Anghel, Adina Cocu et al. · 0 citations
Open access Aug 2026

ConsensusGrade: A Human-Variability-Aware Framework for Evaluating LLM-Based Automated Grading

ConsensusGrade provides a diagnostic framework for interpreting automated scores relative to observed human variability; inside-envelope rates should not be interpreted as stand-alone measures of grading accuracy.

Cătălin Anghel, A. Anghel, Mihai Vlase et al. · 0 citations

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