How Correct Is Your Answer? A Semantic Correctness Framework for Open QA Evaluation
A semantic correctness taxonomy is introduced that assigns open-ended answers to eight ordered classes, separating verbose-but-correct answers from those contaminated by hallucinated content and CAP (Context-Aware Precision), a reference-based metric that scores question-conditioned statements using bidirectional NLI.
Elitsa Yotkova, Violeta Kastreva, Petar Velkov et al.
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