Author

Cristian Sandu

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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. · Informatics · 0 citations

Open access Aug 2026

GradeDrift-LLM: Measuring Student-History-Induced Score Drift in LLM-Based Automated Grading

Student-history metadata can influence LLM-generated grading scores despite explicit instructions to ignore it, and future LLM-based grading systems should separate answer-based scoring from learner-context-based personalization and validate score invariance under controlled learner-context variations.

Cătălin Anghel, A. Anghel, M. Craciun et al. · Machine Learning and Knowled... · 0 citations

Review Open access Jul 2026

SafetyJudge-LLM: Auditing Local Open-Weight LLMs as Semantic Safety Judges for Boundary-Failure Detection

SafetyJudge-LLM shows that local open-weight LLMs can support semantic safety judging, but their reliability must be evaluated across multiple dimensions.

Cătălin Anghel, A. Anghel, M. Craciun et al. · Applied Informatics · 0 citations