pith:DULKBTOB
PaliGemma 2: A Family of Versatile VLMs for Transfer
PaliGemma 2 pairs Gemma 2 language models with SigLIP encoders and trains them at multiple resolutions to achieve strong transfer on OCR and captioning tasks.
arxiv:2412.03555 v1 · 2024-12-04 · cs.CV
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Claims
PaliGemma 2 obtains state-of-the-art results on different OCR-related tasks such as table structure recognition, molecular structure recognition, music score recognition, as well as long fine-grained captioning and radiography report generation.
That multi-stage training at multiple resolutions equips the models with broad transferable knowledge; the abstract provides no controlled ablations or details on how this is verified versus simpler baselines.
PaliGemma 2 is a family of vision-language models that achieves state-of-the-art results on transfer tasks like table structure recognition and radiography report generation by combining SigLIP with Gemma 2 models at various sizes and resolutions.
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| First computed | 2026-05-17T23:38:52.926181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d16a0cdc148397440b52e61248a969b15fac2d9e1570c0a7906224e956eda27
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DULKBTOBJA4XIQFVFZQSJCUWTM \
| 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: 1d16a0cdc148397440b52e61248a969b15fac2d9e1570c0a7906224e956eda27
Canonical record JSON
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