Pith Number
pith:AY7B3MSL
pith:2023:AY7B3MSLIICKEHJXAFZ7D62B7J
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CMMLU: Measuring massive multitask language understanding in Chinese
Most large language models score below 50 percent on a new Chinese multitask understanding benchmark.
arxiv:2306.09212 v2 · 2023-06-15 · cs.CL
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Portable graph bundle live · download bundle · merged
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Claims
C1strongest claim
most existing LLMs struggle to achieve an average accuracy of 50%, even when provided with in-context examples and chain-of-thought prompts, whereas the random baseline stands at 25%.
C2weakest assumption
The questions in CMMLU accurately represent the knowledge and reasoning demands of real Chinese-language tasks across the covered subjects.
C3one line summary
CMMLU benchmark shows most advanced LLMs score below 50% accuracy on Chinese multitask understanding, well above the 25% random baseline but revealing major room for improvement.
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Receipt and verification
| First computed | 2026-05-17T23:38:46.587873Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
063e1db24b4204a21d370173f1fb41fa4a41edf019b497bd0f153385a2b3ba48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AY7B3MSLIICKEHJXAFZ7D62B7J \
| 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: 063e1db24b4204a21d370173f1fb41fa4a41edf019b497bd0f153385a2b3ba48
Canonical record JSON
{
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"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-06-15T15:49:51Z",
"title_canon_sha256": "85638d27497b05a8b6e6cfc2333eaaca9948e66c407771973cfd620a8c90441e"
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"source": {
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"kind": "arxiv",
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