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Department of Computer Science, Chungbuk National University, Cheongju, South Korea, Department of Computer Science, Chungbuk National University, Cheongju-si, South Korea
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Retriever choice is the real bottleneck in Khmer RAG, and no single generator model dominates across faithfulness, factual correctness, and answer relevance.
Forget fancy LLM-based approaches: simple character-based chunking beats them all for RAG in low-resource languages.
