pith:RBGUYHS6
MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models
MedLayBench-V introduces the first large-scale benchmark for expert-lay semantic alignment in medical vision-language models.
arxiv:2604.05738 v2 · 2026-04-07 · cs.CL
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Claims
we introduce MedLayBench-V, the first large-scale multimodal benchmark dedicated to expert-lay semantic alignment. ... constructed via a Structured Concept-Grounded Refinement (SCGR) pipeline. This method enforces strict semantic equivalence by integrating Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs) with micro-level entity constraints.
That the SCGR pipeline, by integrating UMLS CUIs with micro-level entity constraints, will enforce strict semantic equivalence between expert and lay descriptions without information loss, hallucination, or incomplete coverage of medical concepts.
MedLayBench-V is the first large-scale multimodal benchmark for expert-lay semantic alignment in medical vision-language models, constructed via a Structured Concept-Grounded Refinement pipeline that uses UMLS CUIs to enforce equivalence.
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Receipt and verification
| First computed | 2026-06-25T01:17:52.889264Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/RBGUYHS6HQYBM4X6ASB7TTQAT2 \
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Canonical record JSON
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