KyrgyzLLM-Bench: Benchmarking Kyrgyz Language Understanding
Evaluating large language models (LLMs) across languages remains challenging, as most multilingual benchmarks rely on translated English datasets, often obscuring linguistic and cultural specificity in the target language. This issue is particularly pronounced for less-resourced languages such as Kyrgyz, where reliable natively authored evaluation data are scarce. Building on previously introduced Kyrgyz-language evaluation datasets, this work reports the first systematic and large-scale evaluation of LLMs in Kyrgyz using the KyrgyzLLM-Bench benchmark suite. KyrgyzLLM-Bench comprises two natively authored datasets$-$KyrgyzMMLU and KyrgyzRC$-$together with carefully translated and manually...
| Authors | Timur Turatali, Aida Turdubaeva, Rustem Izmailov et al. |
|---|---|
| Primary category | cs.CL |
| Published | 19 July 2026 |
| Last updated at source | 19 July 2026 |
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