A Systematic Evaluation of Large Language Models and Retrieval-Augmented Generation for the Task of Kazakh Question Answering

This paper presents a systematic evaluation of large language models (LLMs) and retrieval-augmented generation (RAG) approaches for question answering (QA) in the low-resource Kazakh language. We assess the performance of existing proprietary (GPT-4o, Gemini 2.5-flash) and open-source Kazakh-oriente...

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Bibliografiske detaljer

Principais autores:	Aigerim Mansurova, Arailym Tleubayeva, Aliya Nugumanova, Adai Shomanov, Sadi Evren Seker
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-10-01
Serier:	Information
Fag:	large language models (LLM) Kazakh language low-resource language question answering (QA) system retrieval augmented generation (RAG) information retrieval (IR)
Online adgang:	https://www.mdpi.com/2078-2489/16/11/943
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