What it measures
13,948 Chinese exam questions across 52 disciplines and 4 educational levels (Middle School, High School, College, Professional).
Reading the measurement
Accuracy is only part of the picture. Inspect unsupported answers, abstentions, language coverage and the evidence available to the model. A confident response can still be wrong, and a broad average can hide a specialist gap.
Published evaluation
Accuracy · Zero-shot; C-Eval · Zero-shot. The table retains the source’s reported model and evaluation configuration.
Where this fits in an evaluation suite
Read accuracy together with error and abstention rates. Domain averages can hide language gaps, specialist failures, and poorly calibrated confidence.
Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.
A reproducible comparison
Accuracy · Zero-shot; C-Eval · Zero-shot. The table retains the source’s reported model and evaluation configuration.
Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.
PRIMARY EVIDENCE & FURTHER READING
- C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models — published result table ↗
All 13 authors
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He
Reviewed 2026-10-26. Explanation and interpretation by RLTasks. Benchmark ownership remains with its original authors.