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SkillEval: Learning Interpretable Ability Profiles of LLMs via Cognitive Diagnosis Models
Current evaluation of LLMs on benchmarks typically aggregates performance over individual examples into a single scalar score. This approach is overly coarse and ignores the diverse scope of skills covered by benchmark datasets. To address this limitation and better exploit benchmark data, we propos
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