AI RESEARCH

Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh

arXiv CS.CL

ArXi:2502.13647v3 Announce Type: replace Instruction tuning in low-resource languages remains underexplored due to limited text data, particularly in government and cultural domains. To address this, we