pith:3YDXEUQS
Language Models are Multilingual Chain-of-Thought Reasoners
Large language models gain step-by-step reasoning ability across many languages as they scale up.
arxiv:2210.03057 v1 · 2022-10-06 · cs.CL · cs.AI · cs.LG
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Claims
the ability to solve MGSM problems via chain-of-thought prompting emerges with increasing model scale, and that models have strikingly strong multilingual reasoning abilities, even in underrepresented languages such as Bengali and Swahili
The manual translations preserve the original semantic meaning, logical structure, and difficulty level of the problems without introducing translation artifacts that would make the task easier or harder in non-English languages.
Large language models show strong chain-of-thought reasoning on math problems across ten languages, with abilities emerging at larger scales and extending to other reasoning tasks.
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| First computed | 2026-05-17T23:38:50.173722Z |
|---|---|
| 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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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3YDXEUQSWA63WKHNHAQJUHOC3G \
| 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: de07725212b03dbb28ed38209a1dc2d9ad3b9bc9050282169cf2c3b6cf22949e
Canonical record JSON
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