CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
CalibratedRubric is introduced, a task-adaptive framework that combines type-specific scoring, Bayesian rubric-measurability filtering, and item response theory (IRT)-based bank assembly that supports CalibratedRubric as an efficient, uncertainty-aware approach to open-ended LLM evaluation.