AI Graded Medical Students Like Experts—Until the Rubric Got Subtle
A two-phase calibration study found AI matched expert raters well on concrete checklist items in simulated patient encounters but struggled ...
A two-phase calibration study found AI matched expert raters well on concrete checklist items in simulated patient encounters but struggled ...
A new benchmark finds that prompt-engineered contextual embeddings improved Random Forest but failed to outperform a strong tabular XGBoost model ...
Generative artificial intelligence has a habit of flattening the world's visual cultures into a single, glossy aesthetic, and indigenous design ...
European Commission researchers used large language models to automatically screen and classify EU-funded transport research projects, cutting curation work from ...
Supplying the 2022 AAOMS position paper in prompts significantly improved Claude's performance on MRONJ-related endodontic scenarios, erasing its baseline gap ...
A new multi-LLM framework that lets three AI models iteratively refine scoring rubrics before grading reached an average Quadratic Weighted ...
A nine-model benchmark found that knowledge-guided reflective prompting modestly improved average reconstruction of 22 Traditional Chinese Medicine tongue signs, while ...
A study of 475 variants in 185 genes found that four general-purpose language models achieved 69.0% mean concordance with expert ...
A 1,000-protein, five-organism benchmark found that leading open-source language models showed biological semantic alignment but achieved a best macro-F1 of ...
A validated tutorial demonstrated 0.91 agreement between human and LLM thematic coding in a controlled analysis of 2,952 publicly available ...
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© 2026 Scienmag - Science Magazine