arXiv AI July 22, 2026 By Iker De la Iglesia, Johanna Ramirez-Romero, Jose Maria Villa-Gonzalez, Irune Urroz Garc\'ia, Ander Barrena, Aitziber Atutxa

MIRA-Ev:A Benchmark for Granular Evidence Detection and Relational Reasoning in Clinical Exams

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arXiv:2607. 19201v1 Announce Type: cross Abstract: Clinical NLP evaluation remains dominated by multiple-choice question answering (MCQA), which scores only final-answer accuracy and cannot detect when a model reaches the correct diagnosis while grounding it in irrelevant, absent, or contradictory evidence.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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