pith:ZOHLDRDH
Language Is Not All You Need: Aligning Perception with Language Models
Kosmos-1 learns perception and language jointly from web-scale interleaved text and images, then performs zero-shot and few-shot tasks across modalities without any finetuning.
arxiv:2302.14045 v2 · 2023-02-27 · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZOHLDRDHWC72JFJ6655JF6NPE5}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Kosmos-1 achieves impressive performance on language understanding, generation, OCR-free NLP, multimodal dialogue, image captioning, visual question answering, and vision tasks such as image recognition with descriptions, all without gradient updates or finetuning.
That web-scale multimodal corpora provide sufficient aligned signal for the model to acquire general cross-modal capabilities that transfer to held-out tasks without any task-specific adaptation.
Kosmos-1 shows strong zero-shot and few-shot results on language tasks, image captioning, visual QA, OCR-free document understanding, and image recognition guided by text instructions.
References
Formal links
Cited by
Receipt and verification
| First computed | 2026-05-17T23:38:50.584005Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cb8eb1c467b0bfa4953ef77a92f9af2754c2cd0d73810d6e90d8cdb6db6d9aa3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZOHLDRDHWC72JFJ6655JF6NPE5 \
| 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: cb8eb1c467b0bfa4953ef77a92f9af2754c2cd0d73810d6e90d8cdb6db6d9aa3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7993a0954152dcd545e045cc24f137dd82711ecda0cf6977f227365be35946f8",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-02-27T18:55:27Z",
"title_canon_sha256": "24cf17c4ee445514c2840626d8355b45ecf0094c3de6a6b61d7d413ce01507b1"
},
"schema_version": "1.0",
"source": {
"id": "2302.14045",
"kind": "arxiv",
"version": 2
}
}