pith:PQRUAG7C
BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
A new benchmark shows most LLMs score below 20% when browsing the Chinese web for verifiable facts.
arxiv:2504.19314 v2 · 2025-04-27 · cs.CL
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Claims
Despite their strong conversational and retrieval capabilities, most models struggle severely: a large number achieve accuracy rates below 10%, and only a handful exceed 20%. Even the best-performing system, OpenAI's DeepResearch, reaches just 42.9%.
The two-stage quality control protocol produces questions that are genuinely high-difficulty and have unique verifiable answers without hidden shortcuts or English leakage.
BrowseComp-ZH is a new benchmark of 289 Chinese web questions where even the strongest LLM agents reach only 42.9% accuracy.
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| First computed | 2026-05-17T23:38:12.902539Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c23401be2d3845890b969a09b4948ea380c39eb900fe2bc41f90797b1ade5f8
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQRUAG7C2OCFREFZNGQJWSKI5I \
| 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: 7c23401be2d3845890b969a09b4948ea380c39eb900fe2bc41f90797b1ade5f8
Canonical record JSON
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