CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
Large Language Models excel in high-resource programming languages but struggle with low-resource ones. Existing research related to low-resource programming languages primarily focuses on Domain-Specific Languages (DSLs), leaving general-purpose languages that suffer from data scarcity underexplored. To address this gap, we introduce CangjieBench, a contamination-free benchmark for Cangjie, a representative low-resource general-purpose language. The benchmark comprises 248 high-quality samples manually translated from HumanEval and ClassEval, covering both Text-to-Code and Code-to-Code tasks. We conduct a systematic evaluation of diverse LLMs under four settings: Direct Generation, Synta...
| Authors | Junhang Cheng, Fang Liu, Jia Li et al. |
|---|---|
| Primary category | cs.SE |
| Published | 15 March 2026 |
| Last updated at source | 12 August 2026 |
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