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pith:RBGUYHS6

pith:2026:RBGUYHS6HQYBM4X6ASB7TTQAT2
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MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models

Han Jang, Heeseong Eum, Junhyeok Lee, Kyu Sung Choi

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

Formal links

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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

884d4c1e5e3c301672fe0483f9ce009e890b72f751b506f321397513ebea427b

Aliases

arxiv: 2604.05738 · arxiv_version: 2604.05738v2 · doi: 10.48550/arxiv.2604.05738 · pith_short_12: RBGUYHS6HQYB · pith_short_16: RBGUYHS6HQYBM4X6 · pith_short_8: RBGUYHS6
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RBGUYHS6HQYBM4X6ASB7TTQAT2 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 884d4c1e5e3c301672fe0483f9ce009e890b72f751b506f321397513ebea427b
Canonical record JSON
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    "submitted_at": "2026-04-07T11:39:41Z",
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