Open Language Models Perform on Spanish Medical Residency Exam
Larger open models rank in the top 600-3000 candidates on the Spanish MIR exam but abstention does not improve outcomes and images are not always used.
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Larger open models rank in the top 600-3000 candidates on the Spanish MIR exam but abstention does not improve outcomes and images are not always used.
ENCP calibrates conformal prediction per navigation episode, giving step-level coverage guarantees for vision-language navigation agents despite within-episode dependence.
CoTS temperature scaling cuts test-time prompt tuning's expected calibration error from 11.90% to 5.38% on ImageNet variants while raising accuracy.
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