pith:J5BMPQQU
VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
VT-Bench is the first unified benchmark to standardize evaluation of models that combine images with tabular data.
arxiv:2605.08146 v2 · 2026-05-03 · cs.CV · cs.AI
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\pithnumber{J5BMPQQUBGKXTAJWOEYQVQKCZJ}
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Claims
VT-Bench is the first unified benchmark for standardizing vision-tabular discriminative prediction and generative reasoning tasks, aggregating 14 datasets across 9 domains with over 756K samples and evaluating 23 models to highlight substantial challenges of visual-tabular learning.
The 14 chosen datasets and the evaluation setup for 23 models accurately represent the core difficulties of visual-tabular multi-modal learning without selection bias or incomplete coverage of real-world use cases.
VT-Bench is the first unified benchmark aggregating 14 visual-tabular datasets with over 756K samples and evaluating 23 models to expose challenges in this multi-modal area.
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| First computed | 2026-05-20T01:06:09.995755Z |
|---|---|
| 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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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5BMPQQUBGKXTAJWOEYQVQKCZJ \
| jq -c '.canonical_record' \
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# expect: 4f42c7c214099579813671310ac142ca5374ac84726a238c83742875c44c1eeb
Canonical record JSON
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