AI RESEARCH
Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks
arXiv CS.AI
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ArXi:2509.24186v2 Announce Type: replace-cross Accuracy-based evaluation of Large Language Models (LLMs) measures benchmark-specific performance rather than underlying medical competency: it treats all questions as equally informative, conflates model ability with item characteristics, and thereby produces rankings that vary with benchmark choice. To address this, we