AI RESEARCH
CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
arXiv CS.CL
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ArXi:2604.25676v1 Announce Type: new Multilingual retrieval-augmented generation (mRAG) is often implemented within a fixed retrieval space, typically via query or document translation or multilingual embedding vector representations. However, this approach may be inadequate for culturally grounded queries, in which retrieval-condition misalignment may occur. Even strong retrievers and generators may struggle to produce culturally relevant answers when sourcing evidence from inappropriate linguistic or regional contexts. To this end, we