AI RESEARCH
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
arXiv CS.AI
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ArXi:2603.19097v1 Announce Type: cross Retrieval-augmented generation (RAG) systems have made significant progress in solving complex multi-hop question answering (QA) tasks in the English scenario. However, RAG systems inevitably face the application scenario of retrieving across multilingual corpora and queries, leaving several open challenges. The first one involves the absence of benchmarks that assess RAG systems' capabilities under the multilingual multi-hop (MM-hop) QA setting.